ProjectXMG999/Social-Media-Sentiment-Analysis-Project
The biggest project - Still in progress
This tool helps companies and organizations understand public perception of their brand or products by analyzing social media posts in real-time. It takes continuous streams of social media data (like tweets or Facebook posts) and classifies the sentiment as positive, negative, or neutral, providing insights into changing trends. Marketers, PR professionals, and brand managers would use this to protect brand reputation.
No commits in the last 6 months.
Use this if you need to continuously monitor social media to understand public sentiment about your brand, products, or campaigns and identify key influencers.
Not ideal if you only need to analyze pre-collected, static datasets of text, or if you require deep, qualitative content analysis beyond sentiment classification.
Stars
5
Forks
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Language
Python
License
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Category
Last pushed
Apr 02, 2023
Commits (30d)
0
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