SkyThonk/Movie-Reviews-Sentiment-Analysis
Sentiment Analysis of Movie Reviews is either positive or negative review, the dataset which is used is "IMDB Dataset of 50K Movie Reviews" and the machine learning algorithm which I used in this is Logistic Regression , Random Forest and LinearSVC.
This helps you automatically determine if a movie review expresses positive or negative sentiment. You provide raw text movie reviews, and it tells you whether each review is generally favorable or unfavorable. This is useful for anyone wanting to quickly gauge public opinion or reactions to films, such as a film critic, a movie studio marketer, or an independent filmmaker.
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Use this if you need to quickly categorize a large collection of movie reviews as either positive or negative.
Not ideal if you need to understand nuanced emotions beyond simple positive/negative, or if your text data isn't movie reviews.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 21, 2020
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