avulaankith/Twitter-Sentiment-Analysis
Twitter Sentiment Analysis with various bert models
This project helps social media analysts, marketers, or researchers understand public opinion by analyzing Twitter data. You feed it tweets, and it tells you whether the sentiment expressed is positive, negative, neutral, or irrelevant. This is useful for anyone tracking brand perception, campaign reactions, or general public mood around specific topics.
No commits in the last 6 months.
Use this if you need to classify the sentiment of tweets and want to explore different advanced deep learning models to find the best approach.
Not ideal if you're looking for a ready-to-use, deployable application for real-time sentiment analysis without needing to run or modify code.
Stars
12
Forks
2
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Feb 09, 2024
Commits (30d)
0
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