InPhyT/IMDb_Sentiment_Analysis_BERT
BERT Sentiment Classification on the IMDb Large Movie Review Dataset.
This project helps entertainment industry analysts, marketers, or film critics understand public opinion by automatically classifying movie reviews. You input raw movie review text, and it outputs a prediction of whether the sentiment is positive or negative. It is designed for anyone needing to quickly gauge audience sentiment from large volumes of text.
No commits in the last 6 months.
Use this if you need to determine the sentiment (positive or negative) of large collections of movie reviews or similar text data.
Not ideal if you need to analyze sentiment across a spectrum of emotions beyond just positive or negative, or for domains outside of movie reviews without significant adaptation.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Sep 08, 2022
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