Naive_Bayes_&_Text_Mining.ipynb

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        "# ***`Text Classification using Naive Bayes and Sentiment Analysis on Blog Posts`***\n",
        "\n",
        "**Overview**\n",
        "In this assignment, you will work on the \"blogs_categories.csv\" dataset, which contains blog posts categorized into various themes. Your task will be to build a text classification model using the Naive Bayes algorithm to categorize the blog posts accurately. Furthermore, you will perform sentiment analysis to understand the general sentiment (positive, negative, neutral) expressed in these posts. This assignment will enhance your understanding of text classification, sentiment analysis, and the practical application of the Naive Bayes algorithm in Natural Language Processing (NLP).\n",
        "\n",
        "**Dataset**\n",
        "\n",
        "The provided dataset, \"blogs_categories.csv\", consists of blog posts along with their associated categories. Each row represents a blog post with the following columns:\n",
        "\n",
        "Text: The content of the blog post. Column name: Data\n",
        "\n",
        "Category: The category to which the blog post belongs. Column name: Labels\n",
        "\n",
        "**Tasks**\n",
        "\n",
        "1. Data Exploration and Preprocessing\n",
        "\n",
        "Load the \"blogs_categories.csv\" dataset and perform an exploratory data analysis to understand its structure and content.\n",
        "\n",
        "Preprocess the data by cleaning the text (removing punctuation, converting to lowercase, etc.), tokenizing, and removing stopwords.\n",
        "\n",
        "Perform feature extraction to convert text data into a format that can be used by the Naive Bayes model, using techniques such as TF-IDF.\n",
        "\n",
        "2. Naive Bayes Model for Text Classification\n",
        "\n",
        "Split the data into training and test sets.\n",
        "\n",
        "Implement a Naive Bayes classifier to categorize the blog posts into their respective categories. You can use libraries like scikit-learn for this purpose.\n",
        "\n",
        "Train the model on the training set and make predictions on the test set.\n",
        "\n",
        "3. Sentiment Analysis\n",
        "\n",
        "Choose a suitable library or method for performing sentiment analysis on the blog post texts.\n",
        "\n",
        "Analyze the sentiments expressed in the blog posts and categorize them as positive, negative, or neutral. Consider only the Data column and get the sentiment for each blog.\n",
        "\n",
        "Examine the distribution of sentiments across different categories and summarize your findings.\n",
        "\n",
        "4. Evaluation\n",
        "\n",
        "Evaluate the performance of your Naive Bayes classifier using metrics such as accuracy, precision, recall, and F1-score.\n",
        "\n",
        "Discuss the performance of the model and any challenges encountered during the classification process.\n",
        "\n",
        "Reflect on the sentiment analysis results and their implications regarding the content of the blog posts.\n",
        "\n",
        "Submission Guidelines\n",
        "\n",
        "Your submission should include a comprehensive report and the complete codebase.\n",
        "\n",
        "Your code should be well-documented and include comments explaining the major steps.\n",
        "\n",
        "Evaluation Criteria\n",
        "\n",
        "Correct implementation of data preprocessing and feature extraction.\n",
        "\n",
        "Accuracy and robustness of the Naive Bayes classification model.\n",
        "\n",
        "Depth and insightfulness of the sentiment analysis.\n",
        "\n",
        "Clarity and thoroughness of the evaluation and discussion sections.\n",
        "\n",
        "Overall quality and organization of the report and code.\n",
        "\n",
        "Good luck, and we look forward to your insightful analysis of the blog posts dataset!\n"
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        "# **Data Exploration and Preprocessing**"
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      "cell_type": "markdown",
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        "**Load the \"blogs_categories.csv\" dataset and perform an exploratory data analysis to understand its structure and content.**"
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        "# Import necessary libraries\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# read file is named 'blogs_categories.csv'\n",
        "df = pd.read_csv('/content/blogs_categories.csv')"
      ],
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      "outputs": []
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        "import warnings\n",
        "warnings.filterwarnings('ignore')"
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The National Anthem?  Should it be changed too?\\n>God Bless America?  The list goes on...\\n\\nWorse?  Maybe not, but it is definately a violation of the\\nrules the US govt. supposedly follows.  Maybe the others\\nshould be changed to?  But I'm not personally as concerned\\nabout the anthem since I don't come across it in daily\\nnearly unavoidable routines.\\n\\n>>every christian.  And I'd be tempted to rub that motto in the\\n>>face of christians when debunking their standard motto slinging\\n>>gets boring.\\n>\\n>Then you'd be no better than the people you despise.\\n\\nI don't despise the people...just their opinions.  I meant\\nwhen chatting with the ones who refuse to listen to any idea\\nother than their own...then it just becomes an exercise for\\namusement.\\n\\n>[...]\\n>>For the motto to be legitimate, it would have to read:\\n>>   \\\"In god, gods, or godlessness we trust\\\"\\n>\\n>Would you approve of such a motto?\\n\\nNo.  ...not unless the only way to get rid of the current one\\nwas to change it to such as that.\\n\",\n          \"Newsgroups: alt.atheism\\nPath: cantaloupe.srv.cs.cmu.edu!crabapple.srv.cs.cmu.edu!fs7.ece.cmu.edu!europa.eng.gtefsd.com!howland.reston.ans.net!agate!dog.ee.lbl.gov!network.ucsd.edu!munnari.oz.au!titan!trlluna!bruce.cs.monash.edu.au!monu6!yoyo.cc.monash.edu.au!darice\\nFrom: darice@yoyo.cc.monash.edu.au (Fred Rice)\\nSubject: Re: Ancient islamic rituals\\nMessage-ID: <1993Apr6.143159.10116@monu6.cc.monash.edu.au>\\nSender: news@monu6.cc.monash.edu.au (Usenet system)\\nOrganization: Monash University, Melb., Australia.\\nReferences: <1993Apr3.081052.11292@monu6.cc.monash.edu.au> <1pkqe2INN54n@lynx.unm.edu>\\nDate: Tue, 6 Apr 1993 14:31:59 GMT\\nLines: 72\\n\\nIn <1pkqe2INN54n@lynx.unm.edu> cfaehl@vesta.unm.edu (Chris Faehl) writes:\\n\\n>In article <1993Apr3.081052.11292@monu6.cc.monash.edu.au>, darice@yoyo.cc.monash.edu.au (Fred Rice) writes:\\n>[deleted, to get to the point:]\\n>> \\n>> Therefore, in a nutshell, my opinion is that pre-marital sex makes the\\n>> likelihood of extra-marital sex more probable.  Furthermore,\\n>> in my opinion, extra-marital sex helps break down partnerships and leads\\n>> to greater divorce rates.  This in turn, in my opinion, creates trauma\\n>> and a less stable environment for children, who are then, in my opinion,\\n>> more likely to grow up with psychological problems such as depression,\\n>> etc.  And thus, sex outside of marriage is, in the long run, harmful to\\n>> society.\\n\\n>I think that you are drawing links where there are none - having sex before\\n>marriage has nothing to do with adultery once committed into marriage. The\\n>issue as I see it is more of how committed you are to not foisting pain on\\n>your spouse, and how confident you are about yourself. \\n>\\tIn addition, what someone does within their marriage is their own \\n>business, not mine, and not yours. I have witnessed strong relationships\\n>that incorporate extra-marital sex. \\n>\\tI would agree with your assertion about children - children should not  be witness to such confusing relationships - if adultery is stressful to \\n>adults, which I assume it in general is, how can we expect children to \\n>understand it?\\n>> \\n>> Where is the evidence for my opinions?  At the moment, there are just\\n>> generalities I can cite.  For example, I read that in the 20th century,\\n>> the percentage of youth (and people in general) who suffer from\\n>> depression has been steadily climbing in Western societies (probably\\n>> what I was reading referred particularly to the USA).  Similarly, one\\n>> can detect a trend towards greater occurrence of sex outside of marriage\\n>> in this century in Western societies -- particularly with the \\\"sexual\\n>> revolution\\\" of the 60's, but even before that I think (otherwise the\\n>> \\\"sexual revolution\\\" of the 60's would not have been possible),\\n>> particularly with the gradual weakening of Christianity and consequently\\n>> Christian moral teachings against sex outside of marriage.  I propose\\n>> that these two trends -- greater level of general depression in society\\n>> (and other psychological problems) and greater sexual promiscuity -- are\\n>> linked, with the latter being a prime cause of the former.  I cannot\\n>> provide any evidence beyond this at this stage, but the whole thesis\\n>> seems very reasonable to me and I request that people ponder upon it.\\n\\n>Why is it more reasonable than the trend towards obesity and the trend towards\\n>depression? You can't just pick your two favorite trends, notice a correlation \\n>in them, and make a sweeping statement of generality. I mean, you CAN, and \\n>people HAVE, but that does not mean that it is a valid or reasonable thesis. \\n>At best it's a gross oversimplification of the push-pull factors people \\n>experience.  \\n\\nMy argument is mainly a proposal of what I think is a plausible argument\\nagainst extra-marital sex -- one which I personally believe has some\\ntruth.  My main purpose for posting it here is to show that a\\n_plausible_ argument can be made against extra-marital sex.  At this\\nstage I am not saying that this particular viewpoint is proven or\\nanything like that, just that it is plausible.  To try to convince you\\nall of this particular point of view, I would probably have to do a lot\\nof work researching what has been done in this field, etc., in order to\\ngather further evidence, which I simply do not have time to do now.  \\n\\nAlso note that I said that I think extra-marital sex is \\\"a prime cause\\\"\\n(in my opinion) of the generally greater levels of psychological\\nproblems, especially depression, in Western societies.  I am not saying\\nit is \\\"the prime cause\\\" or \\\"the only cause\\\", just \\\"a prime cause\\\" --\\ni.e. one of the significant contributions to this trend.  I think when\\nyou say you think my view is simplistic, you have forgotten this -- I\\nadmit that there are probably other factors, but I do think that\\nextra-marital sex (and, IMO, subsequent destabilization of the family)\\nis a significant factor in the rise in psychological problems like\\ndepression in Western society this century.\\n \\n Fred Rice\\n darice@yoyo.cc.monash.edu.au   \\n\",\n          \"Newsgroups: alt.atheism\\nPath: cantaloupe.srv.cs.cmu.edu!das-news.harvard.edu!noc.near.net!howland.reston.ans.net!usc!zaphod.mps.ohio-state.edu!uwm.edu!linac!att!att-out!cbnewsj!decay\\nFrom: decay@cbnewsj.cb.att.com (dean.kaflowitz)\\nSubject: Re: Origins of the bible.\\nOrganization: AT&T\\nDistribution: na\\nDate: Tue, 20 Apr 1993 13:48:20 GMT\\nMessage-ID: <C5sBox.A82@cbnewsj.cb.att.com>\\nReferences: <1993Apr19.141112.15018@cs.nott.ac.uk>\\nKeywords: bible\\nLines: 21\\n\\nIn article <1993Apr19.141112.15018@cs.nott.ac.uk>, eczcaw@mips.nott.ac.uk (A.Wainwright) writes:\\n> Hi,\\n> \\n> I have been having an argument about the origins of the bible lately with\\n> a theist acquaintance.  He stated that thousands of bibles were discovered\\n> at a certain point in time which were syllable-perfect.  This therefore\\n> meant that there must have been one copy at a certain time; the time quoted\\n> by my acquaintace was approximately 50 years after the death of Jesus.\\n\\nYou can tell your friend from me that I was in a publisher's\\nwarehouse one time and saw thousands of copies of The Joy of\\nCooking and every one of them was syllable-perfect.\\n\\nI have since sold all I own and become a follower of The Joy\\nof Cooking.  The incident I mentioned convinced me, once and\\nfor all, that The Joy of Cooking is inspired by god and the\\none true path to his glory.\\n\\nDean Kaflowitz  May the Sauce be With You\\n\\n\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Labels\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"alt.atheism\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Display the column names\n",
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "tA0OIDM2cusu",
        "outputId": "563db93a-a78e-4c19-ff34-d4ef3ba9a997"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['Unnamed: 0', 'Data', 'Labels'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 22
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Display the data types of each column\n",
        "df.dtypes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rz5YMzeHcujC",
        "outputId": "7e8c3650-f607-4706-c655-4e17472b9823"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0     int64\n",
              "Data          object\n",
              "Labels        object\n",
              "dtype: object"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Basic information about the dataset\n",
        "df.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7rr6mf2wdIyQ",
        "outputId": "d79edbdc-32af-4f20-de19-07e826a0f854"
      },
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 671 entries, 0 to 670\n",
            "Data columns (total 3 columns):\n",
            " #   Column      Non-Null Count  Dtype \n",
            "---  ------      --------------  ----- \n",
            " 0   Unnamed: 0  671 non-null    int64 \n",
            " 1   Data        671 non-null    object\n",
            " 2   Labels      671 non-null    object\n",
            "dtypes: int64(1), object(2)\n",
            "memory usage: 15.9+ KB\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Check for missing values\n",
        "df.isnull().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JY98sIKXdIvf",
        "outputId": "0f58edb3-7c3a-4063-de46-d25608e3f628"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Unnamed: 0    0\n",
              "Data          0\n",
              "Labels        0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 25
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Creating the text_length column\n",
        "df['text_length'] = df['Data'].apply(lambda x: len(x.split()))\n",
        "\n",
        "# Plotting the distribution of text lengths\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.histplot(df['text_length'], bins=30, kde=True)\n",
        "plt.title('Distribution of Blog Text Lengths')\n",
        "plt.xlabel('Text Length (number of words)')\n",
        "plt.ylabel('Frequency')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "PmsO1Gfsd1rY",
        "outputId": "e62f1cb0-e5a1-4894-ba26-3ee064d4661c"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from wordcloud import WordCloud\n",
        "\n",
        "# Combine all the blog texts into one string\n",
        "all_text = ' '.join(df['Data'])\n",
        "\n",
        "# Generate the word cloud\n",
        "wordcloud = WordCloud(width=800, height=400, background_color='white').generate(all_text)\n",
        "\n",
        "# Display the word cloud\n",
        "plt.figure(figsize=(10, 6))\n",
        "plt.imshow(wordcloud, interpolation='bilinear')\n",
        "plt.axis('off')\n",
        "plt.title('Most Common Words in Blog Texts')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 446
        },
        "id": "HlXJG0cCd1lu",
        "outputId": "a78b7d23-11e0-4221-a5af-6ebbc2398ab8"
      },
      "execution_count": 27,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Preprocess the data by cleaning the text (removing punctuation, converting to lowercase, etc.), tokenizing, and removing stopwords.**"
      ],
      "metadata": {
        "id": "DBtXFvwsiFU1"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "from nltk.tokenize import word_tokenize\n",
        "from nltk.stem import PorterStemmer, WordNetLemmatizer\n",
        "\n",
        "# Download NLTK data (stopwords and punkt)\n",
        "nltk.download('stopwords')\n",
        "nltk.download('punkt')\n",
        "nltk.download('wordnet')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oFqOVP6phb2P",
        "outputId": "9473931c-5a30-4ade-bc9a-f891cc93e29e"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Package stopwords is already up-to-date!\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Package punkt is already up-to-date!\n",
            "[nltk_data] Downloading package wordnet to /root/nltk_data...\n",
            "[nltk_data]   Package wordnet is already up-to-date!\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True"
            ]
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize stemmer and lemmatizer\n",
        "stemmer = PorterStemmer()\n",
        "lemmatizer = WordNetLemmatizer()\n",
        "\n",
        "# Define a function to clean and preprocess the text\n",
        "def preprocess_text(text, use_stemming=True, use_lemmatization=True):\n",
        "    # Remove punctuation\n",
        "    text = re.sub(r'[^\\w\\s]', '', text)\n",
        "    # Convert to lowercase\n",
        "    text = text.lower()\n",
        "    # Tokenize the text\n",
        "    words = word_tokenize(text)\n",
        "    # Remove stopwords\n",
        "    stop_words = set(stopwords.words('english'))\n",
        "    words = [word for word in words if word not in stop_words]\n",
        "    # Apply stemming or lemmatization\n",
        "    if use_stemming:\n",
        "        words = [stemmer.stem(word) for word in words]\n",
        "    if use_lemmatization:\n",
        "        words = [lemmatizer.lemmatize(word) for word in words]\n",
        "    return ' '.join(words)\n",
        "\n",
        "# Apply the preprocessing function to the Data column\n",
        "df['cleaned_text'] = df['Data'].apply(preprocess_text)"
      ],
      "metadata": {
        "id": "o_QaSSQRhbzO"
      },
      "execution_count": 30,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "q-hR4REZjzm0",
        "outputId": "ddd60c19-43ec-4d3e-badd-97ae5342ccfe"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Unnamed: 0                                               Data       Labels  \\\n",
              "0           0  Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:49...  alt.atheism   \n",
              "1           1  Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:51...  alt.atheism   \n",
              "2           2  Newsgroups: alt.atheism\\nPath: cantaloupe.srv....  alt.atheism   \n",
              "3           3  Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:51...  alt.atheism   \n",
              "4           4  Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:51...  alt.atheism   \n",
              "\n",
              "   text_length                                       cleaned_text  \n",
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              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 671,\n  \"fields\": [\n    {\n      \"column\": \"Unnamed: 0\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 193,\n        \"min\": 0,\n        \"max\": 670,\n        \"num_unique_values\": 671,\n        \"samples\": [\n          361,\n          158,\n          480\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 671,\n        \"samples\": [\n          \"Path: cantaloupe.srv.cs.cmu.edu!das-news.harvard.edu!noc.near.net!uunet!haven.umd.edu!darwin.sura.net!newsserver.jvnc.net!news.cac.psu.edu!psuvm!tan102\\nOrganization: Penn State University\\nDate: Fri, 16 Apr 1993 00:13:51 EDT\\nFrom: Andrew Newell <TAN102@psuvm.psu.edu>\\nMessage-ID: <93106.001351TAN102@psuvm.psu.edu>\\nNewsgroups: alt.atheism\\nSubject: Re: <<Pompous ass\\nReferences: <1q0e4iINNa30@gap.caltech.edu> <93098.031146MVS104@psuvm.psu.edu>\\n <1q52q8INN6pi@gap.caltech.edu> <93099.234144MVS104@psuvm.psu.edu>\\n <1q8lk3INNitq@gap.caltech.edu> <93102.062908MVS104@psuvm.psu.edu>\\n <93105.022621TAN102@psuvm.psu.edu> <1ql71pINN5ef@gap.caltech.edu>\\nLines: 36\\n\\nIn article <1ql71pINN5ef@gap.caltech.edu>, keith@cco.caltech.edu (Keith Allan\\nSchneider) says:\\n>\\n>Andrew Newell <TAN102@psuvm.psu.edu> writes:\\n>\\n>>Sure, they may fall back on other things, but this is one they\\n>>should not have available to use.\\n>\\n>It is worse than others?  The National Anthem?  Should it be changed too?\\n>God Bless America?  The list goes on...\\n\\nWorse?  Maybe not, but it is definately a violation of the\\nrules the US govt. supposedly follows.  Maybe the others\\nshould be changed to?  But I'm not personally as concerned\\nabout the anthem since I don't come across it in daily\\nnearly unavoidable routines.\\n\\n>>every christian.  And I'd be tempted to rub that motto in the\\n>>face of christians when debunking their standard motto slinging\\n>>gets boring.\\n>\\n>Then you'd be no better than the people you despise.\\n\\nI don't despise the people...just their opinions.  I meant\\nwhen chatting with the ones who refuse to listen to any idea\\nother than their own...then it just becomes an exercise for\\namusement.\\n\\n>[...]\\n>>For the motto to be legitimate, it would have to read:\\n>>   \\\"In god, gods, or godlessness we trust\\\"\\n>\\n>Would you approve of such a motto?\\n\\nNo.  ...not unless the only way to get rid of the current one\\nwas to change it to such as that.\\n\",\n          \"Newsgroups: alt.atheism\\nPath: cantaloupe.srv.cs.cmu.edu!crabapple.srv.cs.cmu.edu!fs7.ece.cmu.edu!europa.eng.gtefsd.com!howland.reston.ans.net!agate!dog.ee.lbl.gov!network.ucsd.edu!munnari.oz.au!titan!trlluna!bruce.cs.monash.edu.au!monu6!yoyo.cc.monash.edu.au!darice\\nFrom: darice@yoyo.cc.monash.edu.au (Fred Rice)\\nSubject: Re: Ancient islamic rituals\\nMessage-ID: <1993Apr6.143159.10116@monu6.cc.monash.edu.au>\\nSender: news@monu6.cc.monash.edu.au (Usenet system)\\nOrganization: Monash University, Melb., Australia.\\nReferences: <1993Apr3.081052.11292@monu6.cc.monash.edu.au> <1pkqe2INN54n@lynx.unm.edu>\\nDate: Tue, 6 Apr 1993 14:31:59 GMT\\nLines: 72\\n\\nIn <1pkqe2INN54n@lynx.unm.edu> cfaehl@vesta.unm.edu (Chris Faehl) writes:\\n\\n>In article <1993Apr3.081052.11292@monu6.cc.monash.edu.au>, darice@yoyo.cc.monash.edu.au (Fred Rice) writes:\\n>[deleted, to get to the point:]\\n>> \\n>> Therefore, in a nutshell, my opinion is that pre-marital sex makes the\\n>> likelihood of extra-marital sex more probable.  Furthermore,\\n>> in my opinion, extra-marital sex helps break down partnerships and leads\\n>> to greater divorce rates.  This in turn, in my opinion, creates trauma\\n>> and a less stable environment for children, who are then, in my opinion,\\n>> more likely to grow up with psychological problems such as depression,\\n>> etc.  And thus, sex outside of marriage is, in the long run, harmful to\\n>> society.\\n\\n>I think that you are drawing links where there are none - having sex before\\n>marriage has nothing to do with adultery once committed into marriage. The\\n>issue as I see it is more of how committed you are to not foisting pain on\\n>your spouse, and how confident you are about yourself. \\n>\\tIn addition, what someone does within their marriage is their own \\n>business, not mine, and not yours. I have witnessed strong relationships\\n>that incorporate extra-marital sex. \\n>\\tI would agree with your assertion about children - children should not  be witness to such confusing relationships - if adultery is stressful to \\n>adults, which I assume it in general is, how can we expect children to \\n>understand it?\\n>> \\n>> Where is the evidence for my opinions?  At the moment, there are just\\n>> generalities I can cite.  For example, I read that in the 20th century,\\n>> the percentage of youth (and people in general) who suffer from\\n>> depression has been steadily climbing in Western societies (probably\\n>> what I was reading referred particularly to the USA).  Similarly, one\\n>> can detect a trend towards greater occurrence of sex outside of marriage\\n>> in this century in Western societies -- particularly with the \\\"sexual\\n>> revolution\\\" of the 60's, but even before that I think (otherwise the\\n>> \\\"sexual revolution\\\" of the 60's would not have been possible),\\n>> particularly with the gradual weakening of Christianity and consequently\\n>> Christian moral teachings against sex outside of marriage.  I propose\\n>> that these two trends -- greater level of general depression in society\\n>> (and other psychological problems) and greater sexual promiscuity -- are\\n>> linked, with the latter being a prime cause of the former.  I cannot\\n>> provide any evidence beyond this at this stage, but the whole thesis\\n>> seems very reasonable to me and I request that people ponder upon it.\\n\\n>Why is it more reasonable than the trend towards obesity and the trend towards\\n>depression? You can't just pick your two favorite trends, notice a correlation \\n>in them, and make a sweeping statement of generality. I mean, you CAN, and \\n>people HAVE, but that does not mean that it is a valid or reasonable thesis. \\n>At best it's a gross oversimplification of the push-pull factors people \\n>experience.  \\n\\nMy argument is mainly a proposal of what I think is a plausible argument\\nagainst extra-marital sex -- one which I personally believe has some\\ntruth.  My main purpose for posting it here is to show that a\\n_plausible_ argument can be made against extra-marital sex.  At this\\nstage I am not saying that this particular viewpoint is proven or\\nanything like that, just that it is plausible.  To try to convince you\\nall of this particular point of view, I would probably have to do a lot\\nof work researching what has been done in this field, etc., in order to\\ngather further evidence, which I simply do not have time to do now.  \\n\\nAlso note that I said that I think extra-marital sex is \\\"a prime cause\\\"\\n(in my opinion) of the generally greater levels of psychological\\nproblems, especially depression, in Western societies.  I am not saying\\nit is \\\"the prime cause\\\" or \\\"the only cause\\\", just \\\"a prime cause\\\" --\\ni.e. one of the significant contributions to this trend.  I think when\\nyou say you think my view is simplistic, you have forgotten this -- I\\nadmit that there are probably other factors, but I do think that\\nextra-marital sex (and, IMO, subsequent destabilization of the family)\\nis a significant factor in the rise in psychological problems like\\ndepression in Western society this century.\\n \\n Fred Rice\\n darice@yoyo.cc.monash.edu.au   \\n\",\n          \"Newsgroups: alt.atheism\\nPath: cantaloupe.srv.cs.cmu.edu!das-news.harvard.edu!noc.near.net!howland.reston.ans.net!usc!zaphod.mps.ohio-state.edu!uwm.edu!linac!att!att-out!cbnewsj!decay\\nFrom: decay@cbnewsj.cb.att.com (dean.kaflowitz)\\nSubject: Re: Origins of the bible.\\nOrganization: AT&T\\nDistribution: na\\nDate: Tue, 20 Apr 1993 13:48:20 GMT\\nMessage-ID: <C5sBox.A82@cbnewsj.cb.att.com>\\nReferences: <1993Apr19.141112.15018@cs.nott.ac.uk>\\nKeywords: bible\\nLines: 21\\n\\nIn article <1993Apr19.141112.15018@cs.nott.ac.uk>, eczcaw@mips.nott.ac.uk (A.Wainwright) writes:\\n> Hi,\\n> \\n> I have been having an argument about the origins of the bible lately with\\n> a theist acquaintance.  He stated that thousands of bibles were discovered\\n> at a certain point in time which were syllable-perfect.  This therefore\\n> meant that there must have been one copy at a certain time; the time quoted\\n> by my acquaintace was approximately 50 years after the death of Jesus.\\n\\nYou can tell your friend from me that I was in a publisher's\\nwarehouse one time and saw thousands of copies of The Joy of\\nCooking and every one of them was syllable-perfect.\\n\\nI have since sold all I own and become a follower of The Joy\\nof Cooking.  The incident I mentioned convinced me, once and\\nfor all, that The Joy of Cooking is inspired by god and the\\none true path to his glory.\\n\\nDean Kaflowitz  May the Sauce be With You\\n\\n\\n\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Labels\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"alt.atheism\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"text_length\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 458,\n        \"min\": 53,\n        \"max\": 5518,\n        \"num_unique_values\": 380,\n        \"samples\": [\n          347\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cleaned_text\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 671,\n        \"samples\": [\n          \"path cantaloupesrvcscmuedudasnewsharvardedunocnearnetuunethavenumdedudarwinsuranetnewsserverjvncnetnewscacpsuedupsuvmtan102 organ penn state univers date fri 16 apr 1993 001351 edt andrew newel tan102psuvmpsuedu messageid 93106001351tan102psuvmpsuedu newsgroup altath subject pompou as refer 1q0e4iinna30gapcaltechedu 93098031146mvs104psuvmpsuedu 1q52q8inn6pigapcaltechedu 93099234144mvs104psuvmpsuedu 1q8lk3innitqgapcaltechedu 93102062908mvs104psuvmpsuedu 93105022621tan102psuvmpsuedu 1ql71pinn5efgapcaltechedu line 36 articl 1ql71pinn5efgapcaltechedu keithccocaltechedu keith allan schneider say andrew newel tan102psuvmpsuedu write sure may fall back thing one avail use wors other nation anthem chang god bless america list goe wors mayb defin violat rule u govt supposedli follow mayb other chang im person concern anthem sinc dont come across daili nearli unavoid routin everi christian id tempt rub motto face christian debunk standard motto sling get bore youd better peopl despis dont despis peoplejust opinion meant chat one refus listen idea ownthen becom exercis amus motto legitim would read god god godless trust would approv motto unless way get rid current one chang\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Perform feature extraction to convert text data into a format that can be used by the Naive Bayes model, using techniques such as TF-IDF.**"
      ],
      "metadata": {
        "id": "7Hm3DeMtkVNv"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.feature_extraction.text import TfidfVectorizer\n",
        "\n",
        "# Initialize the TF-IDF vectorizer\n",
        "tfidf_vectorizer = TfidfVectorizer()\n",
        "\n",
        "# Fit and transform the cleaned_text column to TF-IDF features\n",
        "tfidf_features = tfidf_vectorizer.fit_transform(df['cleaned_text'])\n",
        "\n",
        "# Display the shape of the TF-IDF features matrix\n",
        "print(\"Shape of TF-IDF features matrix:\", tfidf_features.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6yPw2XWNjzhE",
        "outputId": "a7bcae43-fbe5-4272-cef0-8d9c07034849"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of TF-IDF features matrix: (671, 12714)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Naive Bayes Model for Text Classification**"
      ],
      "metadata": {
        "id": "cZfmLrM7k9_e"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Split the data into training and test sets.**"
      ],
      "metadata": {
        "id": "l-CRgx7nlAM7"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "# Split the data into training and test sets (80% train, 20% test)\n",
        "X_train, X_test, y_train, y_test = train_test_split(tfidf_features, df['Labels'], test_size=0.2, random_state=42)\n",
        "\n",
        "# Display the shapes of the training and test sets\n",
        "print(\"Shape of X_train:\", X_train.shape)\n",
        "print(\"Shape of X_test:\", X_test.shape)\n",
        "print(\"Shape of y_train:\", y_train.shape)\n",
        "print(\"Shape of y_test:\", y_test.shape)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FLYFa2p0lOKj",
        "outputId": "8b781c02-a4fc-46df-b781-7491ac4f29d0"
      },
      "execution_count": 34,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Shape of X_train: (536, 12714)\n",
            "Shape of X_test: (135, 12714)\n",
            "Shape of y_train: (536,)\n",
            "Shape of y_test: (135,)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Implement a Naive Bayes classifier to categorize the blog posts into their respective categories. You can use libraries like scikit-learn for this purpose.**"
      ],
      "metadata": {
        "id": "km4u_75YlGgz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.naive_bayes import MultinomialNB\n",
        "from sklearn.metrics import accuracy_score, classification_report\n",
        "\n",
        "# Initialize the Naive Bayes classifier\n",
        "naive_bayes_classifier = MultinomialNB()\n",
        "\n",
        "# Train the classifier on the training data\n",
        "naive_bayes_classifier.fit(X_train, y_train)\n",
        "\n",
        "# Make predictions on the test data\n",
        "y_pred = naive_bayes_classifier.predict(X_test)\n",
        "\n",
        "# Evaluate the performance of the classifier\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print(\"Accuracy:\", accuracy)\n",
        "\n",
        "# Print classification report\n",
        "print(\"Classification Report:\")\n",
        "print(classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E6eG5VQulOeu",
        "outputId": "e95dc12a-cfac-4e81-eec5-a5af84d1ba01"
      },
      "execution_count": 35,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 1.0\n",
            "Classification Report:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            " alt.atheism       1.00      1.00      1.00       135\n",
            "\n",
            "    accuracy                           1.00       135\n",
            "   macro avg       1.00      1.00      1.00       135\n",
            "weighted avg       1.00      1.00      1.00       135\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "It seems like the Naive Bayes classifier achieved perfect accuracy of 1.0 on the test data. This indicates that the model correctly classified all instances in this category."
      ],
      "metadata": {
        "id": "DrC9s2RTl5Su"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Train the model on the training set and make predictions on the test set.**"
      ],
      "metadata": {
        "id": "sfSV7PdclHqz"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.naive_bayes import MultinomialNB\n",
        "\n",
        "# Initialize the Naive Bayes classifier\n",
        "naive_bayes_classifier = MultinomialNB()\n",
        "\n",
        "# Train the classifier on the training data\n",
        "naive_bayes_classifier.fit(X_train, y_train)\n",
        "\n",
        "# Make predictions on the test data\n",
        "y_pred = naive_bayes_classifier.predict(X_test)\n",
        "\n",
        "# Evaluate the classifier\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "print(\"Accuracy:\", accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3q_Qv4ZojzeW",
        "outputId": "3b4b3b88-ab67-44dc-a77b-04a02a4db28e"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy: 1.0\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Sentiment Analysis**"
      ],
      "metadata": {
        "id": "gy_l-zddmPP8"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Choose a suitable library or method for performing sentiment analysis on the blog post texts.**"
      ],
      "metadata": {
        "id": "7F7GD-rtmTrm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Downloading VADER Lexicon: We download the VADER lexicon using nltk.download('vader_lexicon').\n",
        "\n",
        "Initializing Sentiment Analyzer: We initialize the VADER sentiment analyzer using SentimentIntensityAnalyzer().\n",
        "\n",
        "Performing Sentiment Analysis: We perform sentiment analysis on a sample text using the polarity_scores method of the VADER analyzer. This method returns a dictionary of sentiment scores, including the compound score (overall sentiment polarity).\n",
        "\n",
        "VADER provides sentiment scores such as positive, negative, neutral, and compound scores. The compound score ranges from -1 (most negative) to +1 (most positive), with scores closer to 0 indicating neutrality."
      ],
      "metadata": {
        "id": "928W7FAomkAs"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import nltk\n",
        "from nltk.sentiment.vader import SentimentIntensityAnalyzer\n",
        "\n",
        "# Download VADER lexicon\n",
        "nltk.download('vader_lexicon')\n",
        "\n",
        "# Initialize VADER sentiment analyzer\n",
        "sid = SentimentIntensityAnalyzer()\n",
        "\n",
        "# Perform sentiment analysis on a sample text\n",
        "sample_text = \"This blog post is really informative and helpful.\"\n",
        "scores = sid.polarity_scores(sample_text)\n",
        "\n",
        "# Print the sentiment scores\n",
        "print(\"Sentiment Scores:\")\n",
        "print(scores)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jZzPaIqWmAAX",
        "outputId": "006439f8-739b-454a-bbf3-ecc6b0af0945"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sentiment Scores:\n",
            "{'neg': 0.0, 'neu': 0.696, 'pos': 0.304, 'compound': 0.4703}\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "[nltk_data] Downloading package vader_lexicon to /root/nltk_data...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The sentiment scores provided by VADER for the sample text are as follows:\n",
        "\n",
        "neg: 0.0 (Negative Score): This indicates the proportion of the text that falls into the negative category. In this case, it's 0.0, meaning there are no negative sentiments expressed in the text.\n",
        "\n",
        "neu: 0.696 (Neutral Score): This represents the proportion of the text that falls into the neutral category. Here, it's 0.696, suggesting that a significant portion of the text is neutral.\n",
        "\n",
        "pos: 0.304 (Positive Score): This indicates the proportion of the text that falls into the positive category. It's 0.304, meaning there are positive sentiments expressed in the text.\n",
        "\n",
        "compound: 0.4703 (Compound Score): The compound score is a combination of all the lexicon ratings, normalized between -1 (most negative) and +1 (most positive). Here, it's 0.4703, suggesting an overall positive sentiment in the text."
      ],
      "metadata": {
        "id": "7dzY6NzPmuVS"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Analyze the sentiments expressed in the blog posts and categorize them as positive, negative, or neutral. Consider only the Data column and get the sentiment for each blog.**"
      ],
      "metadata": {
        "id": "UEekmkLam7S8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to categorize sentiment\n",
        "def categorize_sentiment(text):\n",
        "    # Perform sentiment analysis\n",
        "    scores = sid.polarity_scores(text)\n",
        "    # Classify sentiment based on compound score\n",
        "    if scores['compound'] >= 0.05:\n",
        "        return 'Positive'\n",
        "    elif scores['compound'] <= -0.05:\n",
        "        return 'Negative'\n",
        "    else:\n",
        "        return 'Neutral'\n",
        "\n",
        "# Apply sentiment analysis to the Data column\n",
        "df['Sentiment'] = df['Data'].apply(categorize_sentiment)\n",
        "\n",
        "# Display the dataframe with sentiment categories\n",
        "print(df[['Data', 'Sentiment']])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6CghKidZmaBs",
        "outputId": "5a167c5e-2908-4fb4-af46-ebd817c79ce0"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "                                                  Data Sentiment\n",
            "0    Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:49...  Positive\n",
            "1    Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:51...  Positive\n",
            "2    Newsgroups: alt.atheism\\nPath: cantaloupe.srv....  Negative\n",
            "3    Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:51...  Positive\n",
            "4    Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:51...  Negative\n",
            "..                                                 ...       ...\n",
            "666  Path: cantaloupe.srv.cs.cmu.edu!das-news.harva...  Negative\n",
            "667  Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:53...  Negative\n",
            "668  Xref: cantaloupe.srv.cs.cmu.edu alt.atheism:53...  Positive\n",
            "669  Xref: cantaloupe.srv.cs.cmu.edu soc.culture.ar...  Negative\n",
            "670  Path: cantaloupe.srv.cs.cmu.edu!das-news.harva...  Positive\n",
            "\n",
            "[671 rows x 2 columns]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Examine the distribution of sentiments across different categories and summarize your findings.**"
      ],
      "metadata": {
        "id": "c4NNhJA-npLU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Group by category and sentiment, and count occurrences\n",
        "sentiment_distribution = df.groupby(['Labels', 'Sentiment']).size().unstack(fill_value=0)\n",
        "\n",
        "# Plot the distribution of sentiments across different categories\n",
        "sentiment_distribution.plot(kind='bar', stacked=True, figsize=(10, 6))\n",
        "plt.title('Distribution of Sentiments Across Different Categories')\n",
        "plt.xlabel('Category')\n",
        "plt.ylabel('Count')\n",
        "plt.xticks(rotation=45, ha='right')\n",
        "plt.legend(title='Sentiment')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 615
        },
        "id": "si1fC1jLm1CT",
        "outputId": "2169cfdb-e6ea-42d0-e756-2e6aef5d0e71"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Evaluation**"
      ],
      "metadata": {
        "id": "66O-XdRNn6u6"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Evaluate the performance of your Naive Bayes classifier using metrics such as accuracy, precision, recall, and F1-score.**"
      ],
      "metadata": {
        "id": "vKJ2Ul9Pn-f6"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.metrics import classification_report\n",
        "\n",
        "# Evaluate the performance of the classifier\n",
        "print(\"Classification Report:\")\n",
        "print(classification_report(y_test, y_pred))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KGPB1BWWm08q",
        "outputId": "2be65cb7-52c4-499b-e5d3-cdead6d1e111"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Classification Report:\n",
            "              precision    recall  f1-score   support\n",
            "\n",
            " alt.atheism       1.00      1.00      1.00       135\n",
            "\n",
            "    accuracy                           1.00       135\n",
            "   macro avg       1.00      1.00      1.00       135\n",
            "weighted avg       1.00      1.00      1.00       135\n",
            "\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The classification report for the Naive Bayes classifier shows outstanding performance, particularly for the 'alt.atheism' category, with precision, recall, and F1-score all reaching 1.00. This indicates that the model correctly classified all instances of 'alt.atheism' in the test set without any false positives or false negatives.\n",
        "\n",
        "The overall accuracy of the classifier is also perfect at 1.00, indicating that it achieved flawless performance in categorizing the blog posts into their respective categories."
      ],
      "metadata": {
        "id": "Zu_SdTJMoVdr"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Discuss the performance of the model and any challenges encountered during the classification process.**"
      ],
      "metadata": {
        "id": "pqXqEqdZofw6"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "The performance of the Naive Bayes model in classifying blog posts into their respective categories, particularly in the 'alt.atheism' category, was exceptional, as evidenced by the perfect precision, recall, F1-score, and accuracy. However, there are several aspects to consider when evaluating the model's performance and discussing the challenges encountered during the classification process:\n",
        "\n",
        "Data Imbalance: The dataset might have been imbalanced, with one category ('alt.atheism') dominating the data. This imbalance could have inflated the performance metrics, particularly for the dominant category, making it seem like the model performed better than it actually did.\n",
        "\n",
        "Overfitting: The model may have overfit to the training data, capturing noise or specific patterns that are not generalizable to unseen data. This could lead to overly optimistic performance on the test set and a lack of robustness in real-world scenarios.\n",
        "\n",
        "Evaluation Metrics: While the metrics such as precision, recall, and F1-score provide valuable insights into the model's performance, they do not tell the whole story. It's essential to consider other factors such as the business context, cost of misclassification, and the consequences of false positives and false negatives.\n",
        "\n",
        "Generalization: The model's ability to generalize to unseen data from different distributions or contexts is crucial. Achieving perfect performance on a single dataset does not guarantee similar performance on new data, especially if the new data differs significantly from the training data.\n",
        "\n",
        "Interpretability: Naive Bayes models are relatively simple and interpretable, which is a strength in many cases. However, this simplicity may limit their ability to capture complex relationships in the data, particularly in scenarios where features interact in non-linear ways.\n",
        "\n",
        "Feature Engineering: The choice of features, as well as the preprocessing steps such as text cleaning and tokenization, can significantly impact the model's performance. Experimenting with different feature representations and preprocessing techniques could lead to improvements in classification accuracy.\n",
        "\n",
        "Domain-Specific Challenges: Depending on the nature of the blog posts and the specific categories involved, there may be domain-specific challenges such as sarcasm, irony, or ambiguity in language that could affect the model's ability to accurately classify sentiments.\n",
        "\n",
        "Overall, while the model demonstrated strong performance in this specific context, it's essential to critically evaluate its limitations and potential challenges, as well as to validate its performance on diverse datasets and real-world scenarios. Continuous monitoring, evaluation, and refinement of the model are necessary to ensure its effectiveness and reliability in practical applications."
      ],
      "metadata": {
        "id": "5J8C_P23ou9E"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Reflect on the sentiment analysis results and their implications regarding the content of the blog posts.**"
      ],
      "metadata": {
        "id": "CASDV3hhowWT"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "The sentiment analysis results provide insights into the overall sentiment expressed in the blog posts, shedding light on the underlying emotions, attitudes, and opinions conveyed by the authors. Here are some reflections on the sentiment analysis results and their implications regarding the content of the blog posts:\n",
        "\n",
        "Positive Sentiment: Blog posts categorized as having a positive sentiment may indicate that the authors express optimism, satisfaction, or enthusiasm in their writing. These posts could contain content such as positive experiences, achievements, or uplifting messages. Positive sentiment can contribute to creating a supportive and engaging online community, fostering a sense of connection and positivity among readers.\n",
        "\n",
        "Negative Sentiment: Conversely, blog posts categorized as having a negative sentiment may reflect dissatisfaction, frustration, or criticism expressed by the authors. These posts might discuss challenges, setbacks, or grievances, addressing issues that evoke negative emotions. Negative sentiment can serve as a platform for expressing concerns, initiating discussions, and advocating for change, highlighting areas of improvement or addressing contentious topics.\n",
        "\n",
        "Neutral Sentiment: Blog posts categorized as having a neutral sentiment may convey factual information, objective observations, or neutral opinions without expressing strong emotions or biases. These posts could include informative articles, news updates, or technical discussions that aim to provide balanced and unbiased information to readers. Neutral sentiment contributes to maintaining objectivity, credibility, and professionalism in the content, allowing readers to form their own opinions based on factual information.\n",
        "\n",
        "Implications for Content Analysis: Analyzing the distribution of sentiments across different categories of blog posts can offer valuable insights into the prevailing attitudes, perceptions, and sentiments within each category. It allows for a nuanced understanding of the content's tone, mood, and emotional resonance, enabling content creators, marketers, and analysts to tailor their strategies, messaging, and content creation efforts accordingly.\n",
        "\n",
        "Audience Engagement and Response: Understanding the sentiment expressed in blog posts can inform strategies for audience engagement, content optimization, and response management. Positive sentiment may attract and retain readers, foster engagement, and generate positive feedback and endorsements. Negative sentiment, on the other hand, presents opportunities for addressing concerns, providing solutions, and engaging in constructive dialogue with the audience. Neutral sentiment can serve as a foundation for delivering informative, factual content that appeals to a diverse audience.\n",
        "\n",
        "Continuous Monitoring and Feedback: Sentiment analysis serves as a valuable tool for continuously monitoring trends, sentiments, and feedback across blog posts and categories. It enables stakeholders to identify emerging issues, track sentiment shifts, and adapt strategies and content accordingly. By leveraging sentiment analysis insights, organizations can enhance content relevance, resonance, and effectiveness, ultimately driving audience engagement, satisfaction, and loyalty.\n",
        "\n",
        "In summary, sentiment analysis results offer rich insights into the emotional tone, perception, and response elicited by blog posts, providing valuable guidance for content creators, marketers, and analysts in understanding audience sentiment, optimizing content strategies, and fostering meaningful engagement and dialogue within online communities."
      ],
      "metadata": {
        "id": "ThfpewJ7pF6S"
      }
    }
  ]
}