Project 7 : NLP Transformers Project
News Scraping Summarization Sentiment.
I will be using 2 different types of transformers for this project. One for Summarization text and another Sentiment analysis.
Introduction: Business Problem
As someone new to the data science world, I find it hard at time to keep track of the various cutting edge technologies within our ever growing field.
A great way to keep track of the technology is to read articles on medium. The question then becomes where to start.
This project is designed for a user to enter a technology(in this case a framework) so as to find out the latest articles about this technology. Then I will summarize this article so as to make choosing an article to read to be easier when you have an idea what the article contains. Then I will perform Sentiment analysis to determine if the article is positive or negative. Finally export the data as a .csv(comma separated values) file for the user.
Methodology
The project will be executed by completing the following tasks:
- Install and Import Baseline Dependencies
- Setup Summarization Model
- Building a news summarization and sentiment Pipeline
- Export Results to CSV.