KhaledAshrafH/ChatGPT-Sentiment-Analysis
This project aims to perform sentiment analysis on tweets related to ChatGPT, a popular language model developed by OpenAI. The dataset used for training and testing consists of 219,293 tweets collected over a month. Each tweet is classified as positive ("good"), negative ("bad"), or ("neutral").
This project helps you understand public opinion about ChatGPT by analyzing tweets. It takes raw tweet text about ChatGPT as input and classifies each tweet as expressing a positive, negative, or neutral sentiment. This is useful for market researchers, product managers, and brand strategists monitoring public perception of AI technologies.
No commits in the last 6 months.
Use this if you need to quickly assess the general sentiment surrounding ChatGPT from a large collection of social media posts.
Not ideal if you need highly nuanced sentiment analysis beyond positive, negative, and neutral, or if your focus is on a different product or topic.
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17
Forks
2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 03, 2024
Commits (30d)
0
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