venkat-0706/Twalyze
Twitter sentiment analysis project using machine learning to classify tweets and understand audience mood, opinions, and behavior trends in real-time.
This project helps you understand public opinion by analyzing Twitter posts about specific topics, like airlines. It takes raw tweet text and classifies each one as expressing a positive, negative, or neutral sentiment. Business analysts, brand managers, or marketing professionals can use this to gauge customer mood and track brand perception.
No commits in the last 6 months.
Use this if you need to quickly assess the general sentiment of a collection of tweets related to your brand or a specific subject.
Not ideal if you need a real-time sentiment analysis solution for live social media feeds or highly nuanced sentiment classification beyond positive, negative, or neutral.
Stars
11
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1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 15, 2025
Commits (30d)
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