GitHub / 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").
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/KhaledAshrafH%2FChatGPT-Sentiment-Analysis
PURL: pkg:github/KhaledAshrafH/ChatGPT-Sentiment-Analysis
Stars: 14
Forks: 1
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 25.3 MB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: 6 months ago
Pushed at: 8 months ago
Last synced at: 4 months ago
Topics: bidirectional-lstm, chat-gpt, chat-gpt-3, chatgpt, cnn, cnn-classification, cnn-model, data-preprocessing, glove, glove-embeddings, lstm, lstm-model, lstm-neural-networks, natural-language-processing, nlp, openai, sentiment-analysis, sentiment-classification, trials, word-embading