https://github.com/curiousily/CryptoGPT-Crypto-Twitter-Sentiment-Analysis-with-ChatGPT-and-LangChain

Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors.
https://github.com/curiousily/CryptoGPT-Crypto-Twitter-Sentiment-Analysis-with-ChatGPT-and-LangChain

chatgpt cryptocurrency langchain python sentiment-analysis streamlit twitter

Last synced: about 2 months ago
JSON representation

Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors.

• Host: GitHub
• URL: https://github.com/curiousily/CryptoGPT-Crypto-Twitter-Sentiment-Analysis-with-ChatGPT-and-LangChain
• Owner: curiousily
• License: apache-2.0
• Created: 2023-05-23T17:40:28.000Z (over 1 year ago)
• Default Branch: master
• Last Pushed: 2023-05-24T16:24:03.000Z (over 1 year ago)
• Last Synced: 2024-12-03T03:42:04.953Z (about 2 months ago)
• Topics: chatgpt, cryptocurrency, langchain, python, sentiment-analysis, streamlit, twitter
• Language: Python
• Homepage: https://www.mlexpert.io/prompt-engineering/cryptogpt
• Size: 1.47 MB
• Stars: 43
• Watchers: 3
• Forks: 16
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• jimsghstars - curiousily/CryptoGPT-Crypto-Twitter-Sentiment-Analysis-with-ChatGPT-and-LangChain - Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors. (Python)

README

        
# CryptoGPT



  



Demo: https://cryptogpt-crypto-twitter-sentiment.streamlit.app/

CryptoGPT is a Streamlit application that leverages ChatGPT and LangChain to analyze tweet sentiment from selected Twitter authors. By utilizing this application, you can obtain a sentiment score ranging from 0 to 100, where 0 indicates bearish sentiment and 100 represents bullish sentiment.

## Tutorials

- [Download and preprocess tweets (YouTube video)](https://www.youtube.com/watch?v=uX3jZMMPesw)

- [Sentiment Analysis UI with Streamlit (YouTube video)](https://www.youtube.com/watch?v=janyckhHkio)

- [Text tutorial (requires MLExpert Pro)](https://www.mlexpert.io/prompt-engineering/cryptogpt)