News Automation

This project uses the Google News Python API to fetch and analyze news articles. It includes features for sentiment analysis and text summarization.

Installation

Clone the repository and install the required Python packages:

git clone https://github.com/julian-8897/news_automation.git
cd news_automation
pip install -r requirements.txt

Usage

You can fetch news articles by running the automate.py script with command-line arguments for the date range, keywords, and number of pages to fetch:

python automate.py --lower_date '10/28/2022' --upper_date '10/30/2022' --key_words 'NBA' 'Artificial Intelligence' 'Manchester United' --n_pages 1

Running the script will save the fetched results to a 'headlines.csv' file in the current directory.

Command-line Options

You can customize the command-line options to get a specific date range, keywords or number of pages to be fetched.

--lower_date (Lower bound of the date range)
--upper_date (Upper bound of the date range)
--key_words (One or more key words to be searched)
--n_pages (Number of pages to be fetched)

Sentiment Analysis

A simple pipeline to analyze the sentiment of article titles is now included. This was achieved using the Transformers API https://huggingface.co/docs/transformers/index.

Article Summarization

Now supports summarizing of articles using the fine-tuned T5 small model (https://huggingface.co/Falconsai/text_summarization). This can be achieved by running the main script automate.py or running it as an web app on the local server using app.py