r13i/twitter-sentiment-analysis
What if we could see the emotions and moods of people through the breadcrumbs they leave on Twitter ?
This project helps you understand the emotions and moods expressed by people on Twitter by analyzing their public tweets. It takes a continuous stream of tweets as input and provides a live dashboard showing the sentiment and language distribution of these tweets. This tool is ideal for market researchers, brand managers, or social media analysts who need to monitor public opinion and trends.
No commits in the last 6 months.
Use this if you need to continuously track and visualize real-time sentiment from Twitter data for specific topics or keywords.
Not ideal if you need to analyze historical tweet data from before setting up this system, or if you require advanced natural language processing beyond sentiment and language detection.
Stars
19
Forks
14
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
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