pitmonticone/BertSentimentClassification
BERT Sentiment Classification on the Large Movie Review Dataset.
This project helps anyone who needs to quickly understand the overall sentiment of written text, like movie reviews. You feed it a text, and it tells you whether the author expresses a positive or negative opinion. It’s perfect for market researchers, product managers, or content analysts who deal with large volumes of customer feedback or user-generated content.
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Use this if you need to automatically categorize short pieces of text, such as customer comments, social media posts, or survey responses, into positive or negative sentiments.
Not ideal if your text contains neutral opinions, sarcasm, or highly nuanced language, as this model focuses on clearly positive or negative sentiment.
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Jupyter Notebook
License
MIT
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Last pushed
May 02, 2022
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