rehanraza24/Twitter-Text-Sentiment-Analysis-
Twitter Text Sentiment Analysis (Preprocessing using Spacy)
This project helps social media analysts and marketers understand public opinion from Twitter data. It takes raw tweets and cleans them by removing noise like retweets, hashtags, and special characters. The output is categorized tweets with an assigned sentiment (positive, negative, neutral), helping you gauge public perception of a topic or brand.
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Use this if you need to process large volumes of tweet text to extract sentiment or categorize content for market research or brand monitoring.
Not ideal if you're looking for an out-of-the-box application with a graphical interface, as this project consists of programming notebooks.
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Last pushed
Jan 10, 2021
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