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Jul 6, 2021
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Add support for windows execution in Chapter 8 notebooks #68

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fc4b25b
[NLP][Ch08Nb01] Update Notebook 1 with windows compatibility
SukeeratSG Jun 3, 2021
e84b20f
[NLP][Ch08Nb02] Update Notebook 2 with windows compatibility
SukeeratSG Jun 3, 2021
6fbd85d
[NLP][Ch08Nb03] Update Notebook 3 with windows compatibility
SukeeratSG Jun 3, 2021
2edd5d1
[NLP][Ch08Nb04] Update Notebook 4 with windows compatibility
SukeeratSG Jun 3, 2021
07f2204
[NLP][Ch08Nb05] Update Notebook 5 with windows compatibility
SukeeratSG Jun 3, 2021
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263 changes: 116 additions & 147 deletions Ch8/01_WordCloud.ipynb
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51 changes: 32 additions & 19 deletions Ch8/02_DifferentTokenizers.ipynb
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Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
"execution_count": 0,
"execution_count": 1,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
Expand All @@ -19,23 +19,36 @@
"text": [
"Collecting twikenizer\n",
" Downloading https://files.pythonhosted.org/packages/d2/51/7aee33630b948f0716efae7a96c4fd8f859b348694058c380fd899a4227e/twikenizer-1.0.tar.gz\n",
"Building wheels for collected packages: twikenizer\n",
" Building wheel for twikenizer (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for twikenizer: filename=twikenizer-1.0-cp36-none-any.whl size=4853 sha256=69c74c1ea248414aa18ccbf0d8f0b704cb204a0af7fd1a75d3821a783b301b83\n",
" Stored in directory: /root/.cache/pip/wheels/34/5d/df/2bf827d7e3c6bda2b2dcdd978f975afd43ef400784c9507675\n",
"Successfully built twikenizer\n",
"Installing collected packages: twikenizer\n",
"Successfully installed twikenizer-1.0\n",
" Running setup.py install for twikenizer: started\n",
" Running setup.py install for twikenizer: finished with status 'done'\n",
"Successfully installed twikenizer-1.0\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"You are using pip version 19.0.3, however version 21.1.2 is available.\n",
"You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting emoji\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/40/8d/521be7f0091fe0f2ae690cc044faf43e3445e0ff33c574eae752dd7e39fa/emoji-0.5.4.tar.gz (43kB)\n",
"\u001b[K |████████████████████████████████| 51kB 1.7MB/s \n",
"\u001b[?25hBuilding wheels for collected packages: emoji\n",
" Building wheel for emoji (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for emoji: filename=emoji-0.5.4-cp36-none-any.whl size=42176 sha256=13fd92618dda624b5bf58512c35020d306717a1ffbb07b067cea5ef79ca2ba2e\n",
" Stored in directory: /root/.cache/pip/wheels/2a/a9/0a/4f8e8cce8074232aba240caca3fade315bb49fac68808d1a9c\n",
"Successfully built emoji\n",
" Downloading https://files.pythonhosted.org/packages/24/fa/b3368f41b95a286f8d300e323449ab4e86b85334c2e0b477e94422b8ed0f/emoji-1.2.0-py3-none-any.whl (131kB)\n",
"Installing collected packages: emoji\n",
"Successfully installed emoji-0.5.4\n"
"Successfully installed emoji-1.2.0\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"You are using pip version 19.0.3, however version 21.1.2 is available.\n",
"You should consider upgrading via the 'python -m pip install --upgrade pip' command.\n"
]
}
],
Expand All @@ -46,7 +59,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": 2,
"metadata": {
"colab": {},
"colab_type": "code",
Expand All @@ -59,7 +72,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": 3,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
Expand All @@ -86,7 +99,7 @@
},
{
"cell_type": "code",
"execution_count": 0,
"execution_count": 5,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
Expand Down Expand Up @@ -132,7 +145,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.10"
"version": "3.7.4"
}
},
"nbformat": 4,
Expand Down
269 changes: 131 additions & 138 deletions Ch8/03_TrendingTopics.ipynb
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Original file line number Diff line number Diff line change
@@ -1,115 +1,108 @@
{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"name": "TrendingTopics.ipynb",
"provenance": [],
"collapsed_sections": []
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
}
"cells": [
{
"cell_type": "markdown",
"metadata": {
"colab_type": "text",
"id": "6IM1xuTnGlPs"
},
"source": [
"# Trending Topics\n",
"\n",
"## In this notebook we show you how to access the most trending topics in a particular location. \n",
"### pre-requisites: Twitter Developer Account. If you dont have one, dont worry it is free to obtain all you need to do is visit this link and follow the setup process explained [here](https://cran.r-project.org/web/packages/rtweet/vignettes/auth.html)."
]
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "6IM1xuTnGlPs",
"colab_type": "text"
},
"source": [
"#Trending Topics\n",
"\n",
"##In this notebook we show you how to access the most trending topics in a particular locatoin. \n",
"###pre-requisites: Twitter Developer Account. If you dont have one, dont worry it is free to obtain all you need to do is visit this link and follow the setup process explained [here](https://cran.r-project.org/web/packages/rtweet/vignettes/auth.html)."
]
},
{
"cell_type": "code",
"metadata": {
"id": "SSKP1W_7p7vL",
"colab_type": "code",
"colab": {}
},
"source": [
"import tweepy, json"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "toSpm2I4BeTH",
"colab_type": "code",
"colab": {}
},
"source": [
"#setting all the credentials of your twitter developer account\n",
"CONSUMER_KEY= 'insert your customer key'\n",
"CONSUMER_SECRET= 'insert your customer secrect key'\n",
"ACCESS_KEY= 'insert your access key here'\n",
"ACCESS_SECRET= 'insert your access secret key here'"
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "oiNcCJPiBfDW",
"colab_type": "code",
"colab": {}
},
"source": [
"#granting access to your twitter account\n",
"auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)\n",
"auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)\n",
"api = tweepy.API(auth)"
],
"execution_count": 0,
"outputs": []
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "SSKP1W_7p7vL"
},
"outputs": [],
"source": [
"import tweepy, json"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "toSpm2I4BeTH"
},
"outputs": [],
"source": [
"# Setting all the credentials of your twitter developer account.\n",
"\n",
"CONSUMER_KEY= 'insert your customer key'\n",
"CONSUMER_SECRET= 'insert your customer secrect key'\n",
"ACCESS_KEY= 'insert your access key here'\n",
"ACCESS_SECRET= 'insert your access secret key here'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"colab": {},
"colab_type": "code",
"id": "oiNcCJPiBfDW"
},
"outputs": [],
"source": [
"# Granting access to your twitter account.\n",
"\n",
"auth = tweepy.OAuthHandler(CONSUMER_KEY, CONSUMER_SECRET)\n",
"auth.set_access_token(ACCESS_KEY, ACCESS_SECRET)\n",
"api = tweepy.API(auth)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
{
"cell_type": "code",
"metadata": {
"id": "wAM5FWYPBix2",
"colab_type": "code",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "d474a149-e0dc-440f-a723-c273f0a112ae"
},
"source": [
"#A WOEID (Where On Earth IDentifier) is a unique 32-bit reference identifier\n",
"\n",
"WORLD_WOE_ID =1\n",
"BRAZIL_WOE_ID = 23424768\n",
"\n",
"#fetching trending topics in brazil \n",
"brazil_trends = api.trends_place(BRAZIL_WOE_ID)\n",
"trends = json.loads(json.dumps(brazil_trends, indent=1))\n",
" \n",
"brazil_trend_list=[] \n",
"for trend in trends[0][\"trends\"]:\n",
"\tbrazil_trend_list.append(trend[\"name\"].strip(\"#\"))\n",
"\n",
"#fetching trending topics in the world\n",
"world_trends = api.trends_place(WORLD_WOE_ID)\n",
"world_trends_json = json.loads(json.dumps(world_trends, indent=1))\n",
"\n",
"world_trend_list=[] \n",
"for trend in world_trends_json[0][\"trends\"]:\n",
"\tworld_trend_list.append(trend[\"name\"].strip(\"#\"))\n",
" \n",
"#printing the topics which are trending in both WORLD and BRAZIL \n",
"print(set(world_trend_list).intersection(set(brazil_trend_list)))"
],
"execution_count": 29,
"outputs": [
"colab_type": "code",
"id": "wAM5FWYPBix2",
"outputId": "d474a149-e0dc-440f-a723-c273f0a112ae"
},
"outputs": [],
"source": [
"# A WOEID (Where On Earth IDentifier) is a unique 32-bit reference identifier.\n",
"\n",
"WORLD_WOE_ID =1\n",
"BRAZIL_WOE_ID = 23424768\n",
"\n",
"# Fetching trending topics in BraziL.\n",
"\n",
"brazil_trends = api.trends_place(BRAZIL_WOE_ID)\n",
"trends = json.loads(json.dumps(brazil_trends, indent=1))\n",
" \n",
"brazil_trend_list=[] \n",
"for trend in trends[0][\"trends\"]:\n",
"\tbrazil_trend_list.append(trend[\"name\"].strip(\"#\"))\n",
"\n",
"# Fetching trending topics in the world.\n",
"world_trends = api.trends_place(WORLD_WOE_ID)\n",
"world_trends_json = json.loads(json.dumps(world_trends, indent=1))\n",
"\n",
"world_trend_list=[] \n",
"for trend in world_trends_json[0][\"trends\"]:\n",
"\tworld_trend_list.append(trend[\"name\"].strip(\"#\"))\n",
" \n",
"# Printing the topics which are trending in both WORLD and BRAZIL.\n",
"\n",
"print(set(world_trend_list).intersection(set(brazil_trend_list)))"
],
"execution_count": 29,
"outputs": [
{
"output_type": "stream",
"text": [
Expand All @@ -118,32 +111,32 @@
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "CvD89_eKCF7d",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": 0,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"id": "PPpiCPOwDGLO",
"colab_type": "code",
"colab": {}
},
"source": [
""
],
"execution_count": 0,
"outputs": []
}
]
}
}
],
"metadata": {
"colab": {
"collapsed_sections": [],
"name": "TrendingTopics.ipynb",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.4"
}
},
"nbformat": 4,
"nbformat_minor": 1
}
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