avs-abhishek123/Twitter-Sentimental-Analysis
An AI project where we do web scrapping from Twitter API, find the sentimental analysis using bag-of-word model, & store it in a csv file.
This tool helps marketers, PR professionals, or researchers quickly understand public opinion on a specific topic or brand discussed on Twitter. You input a keyword or topic, and it pulls recent tweets, analyzing each for positive, negative, or neutral sentiment and whether it expresses an opinion or a fact. The results, including tweet content and sentiment scores, are then provided in a structured CSV file.
No commits in the last 6 months.
Use this if you need to quickly gauge the sentiment of a limited number of tweets related to a specific keyword.
Not ideal if you need to analyze large volumes of historical Twitter data or require advanced, nuanced sentiment understanding beyond basic polarity and subjectivity.
Stars
16
Forks
1
Language
—
License
MIT
Category
Last pushed
Apr 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/avs-abhishek123/Twitter-Sentimental-Analysis"
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