Harshvardhan2164/Social-Media-Sentiment-Analysis-Minor-Project
Sentiment analysis, or opinion mining, extracts emotions and attitudes from text. This project focuses on Twitter, Amazon, and YouTube, using advanced machine learning and natural language processing. It aims to unveil collective sentiments and evolving trends in user-generated content across these platforms.
This project helps you understand public opinion by analyzing text from social media platforms like Twitter, Amazon reviews, and YouTube comments. You input text from these sources, and it tells you whether the sentiment is positive, negative, or neutral. It's designed for marketers, product managers, or public relations professionals who need to quickly gauge how people feel about topics, products, or events.
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Use this if you need to quickly extract and categorize emotions from large volumes of social media text to understand collective opinions and trends.
Not ideal if you require highly nuanced, context-specific sentiment analysis for extremely informal or niche language without prior training data.
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16
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6
Language
Python
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Last pushed
Feb 20, 2025
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