baotramduong/Twitter-Sentiment-Analysis-with-Deep-Learning-using-BERT
Twitter Sentiment Analysis with Deep Learning using BERT and Hugging Face
This project helps companies understand public sentiment from social media by analyzing tweets. It takes raw Twitter data and classifies the emotions expressed (like happiness, sadness, anger, etc.) to provide insights into user behavior and brand perception. Marketing managers, brand strategists, and public relations professionals would find this useful for monitoring online presence and guiding strategic decisions.
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Use this if you need to quickly categorize emotions from Twitter data to gauge public opinion about specific topics or brands.
Not ideal if you require a sentiment analysis tool that can handle a broader range of text sources beyond Twitter or can detect highly nuanced emotions.
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Last pushed
Sep 16, 2021
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