dchandak99/BERT-Sentiment
Sentiment Analysis on the IMDB dataset using BERT, Hugging Face and PyTorch
This project helps data scientists and machine learning engineers analyze large collections of text to understand the underlying sentiment. It takes raw text, specifically movie reviews, and classifies each as either positive or negative. The output is a sentiment label for each review, which can be used to gauge public opinion or feedback. This is for technical practitioners building or evaluating sentiment analysis models.
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Use this if you are a data scientist or machine learning engineer looking for an example implementation of BERT-based sentiment analysis on movie review data.
Not ideal if you are a business user looking for a ready-to-use tool to perform sentiment analysis without any coding.
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Last pushed
Aug 03, 2020
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