Skip to content

Latest commit

 

History

History
9 lines (9 loc) · 986 Bytes

README.md

File metadata and controls

9 lines (9 loc) · 986 Bytes
Raw

Automate-Stocks-and-Crypto-Research

  • A Project to scrape Stocks/Crypto blogs and generate short summaries using Huggingface's text summarization transformer model and generate summaries and their sentiments.
  • A user when inputs the stock ticker for eg: GME, BTC , DOGE, ETH , will recieve summarized blog news for each stock with the sentiment of the news summary and news URL, thus automating research work in this field.
  • Futher scope of the project: Deploy the project on flask and provide user with a simple UI.  

-> Used BeautifulSoup4 for scraping stock articles.

-> Used Huggingface's text summarization Pegasus Conditional Generator transformer model to generate summaries and used the sentiment pipeline for generating sentiment.