Sentiment Analysis

Wanted to analyse the sentiment of the texts whether they meant positive or negative ?? No Problem, You can analyse the sentiment of the Text / Reviews now. 💡
Wanted to visualize the postive and negative words of the sentence ?? Now it's in your hands, Visualize the positive and negative sentiment words of the sentence as below 👇

About The Project

Sentiment analysis on reviews of the movie from the imdb movie review Dataset using concepts like

• Bag Of Words(BOW) - Count Vectorizer
• Tf-idf(Term Frequency- Inverse Document Frequency)
• Word2Vec

Features

• Predict the sentiment of the review / text.
• Get the postive words involved in the sentence in form of wordcloud
• Get the negative words involved in the sentence in form of wordcloud

Tech Stack

• Numpy
• Pandas
• Nltk
• Scikit-Learn
• gensim
• Tqdm

Screenshots

🏅 Accuracy Results

Bag Of Words - Count Vectorizer

Naive-Bayes - 83.872% ~ (84%)
Random Forest - 83.96% ~ (84%)

Tf-idf

Naive-Bayes - 84.48%
Random Forest - 84.14%

Word2Vec

Naive-Bayes - 77%
Random Forest - 83.23%