I-am-sayantan/public-sentiment-analysis-based-on-twitter-hashtags
This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.
This project helps you understand public opinion by analyzing Twitter hashtags. It takes raw Twitter data associated with specific hashtags and processes it to reveal the prevailing sentiment (positive, negative, or neutral). Marketers, public relations professionals, or social researchers can use this to gauge public reaction to events, brands, or topics over time.
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Use this if you need to analyze the emotional tone of social media conversations around specific hashtags to understand public sentiment trends.
Not ideal if you need to analyze sentiment from private data sources, other social media platforms, or require real-time, high-volume sentiment analysis for critical business operations.
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12
Forks
23
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 09, 2022
Commits (30d)
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