rohit-chandra / Financial_News_Summarization_Sentiment_Analysis

Scrape Stock and Crypto news from the web using BeautifulSoup. Summarize using fine tuned Pegasus Transformers model. Find Sentiment using Tranformers Pipeline

Financial_News_Summarization_Sentiment_Analysis

Overview of the project

1. Scrape Stock and Crypto news from the Google news using BeautifulSoup.
2. Summarize each article using fine tuned Hugging Face Transformers model.
3. Find Sentiment using Tranformers Pipeline and export as CSV

Installation

In order to use the Cell Image Analyzer on your local machine, it is necessary to have Python 3.6 or a newer version installed. Subsequently, you can install the necessary packages by executing the following command:

pip install -r requirements.txt

This will install all the necessary dependencies

Usage

To start the streamlit app, simply run the following command:

To run the application

run notebook.ipynb (or)

python scrapesummarizesentiment.py

Final Output saved as CSV

Note:

You can add as many tickers as you want to get the summaries, sentiment, scores in the final CSV file