soham2707/Twitter-Sentiment-Analysis-

This is a project of twitter sentiment analysis using machine learning(Support Vector Machines,Naive Bayes), deep learning(LSTM), Transformer(BERT,ROBERTA).

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Experimental

This project helps you understand public opinion by analyzing Twitter posts. You provide raw tweets, and it tells you whether the sentiment expressed in each tweet is positive, negative, or neutral. This is useful for product managers, brand strategists, or anyone needing to gauge public reaction to a topic.

No commits in the last 6 months.

Use this if you need to quickly assess the general feeling or public sentiment around a product, person, or event based on a collection of tweets.

Not ideal if you need to analyze sentiment from social media platforms other than Twitter or require very nuanced, context-specific sentiment interpretations beyond positive, negative, or neutral.

social-listening brand-reputation public-opinion product-launch market-research
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 6 / 25
Maturity 8 / 25
Community 15 / 25

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Jupyter Notebook

License

Last pushed

Sep 11, 2021

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