TypEktor/Multilingual-Sentiment-Analysis
A Multilingual Twitter Sentiment Analysis
This project helps social media analysts, brand managers, or researchers understand public opinion by analyzing Twitter conversations. You provide it with spreadsheets of tweets, and it tells you the sentiment (positive, negative, neutral) expressed within them, even if the tweets are in multiple languages. This allows you to gauge reactions, track trends, and gain insights from large volumes of social media data.
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Use this if you need to quickly assess the emotional tone of a collection of tweets from various accounts and languages without manual review.
Not ideal if you need highly nuanced sentiment analysis for extremely specific domains or if you require real-time sentiment tracking for live feeds.
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Language
Python
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Last pushed
Jun 25, 2024
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