Topic modeling on unstructured data in Space news articles retrieved
NLP Space News Topic Modeling
topic modeling on unstructured data in Space news articles retrieved from the Guardian (UK) newspaper using API
Project Idea
Project Overview
This project aims to learn topics published in Space news from the Guardian (UK) news publication.
Motivation
The model/tool would give an idea of what Space news topics matter to each publication over time. For example, a space mission led by the European Space Agency (ESA) might be more relevant/important to the Guardian than to the New York Times. The two news publications1 list articles on their web pages and machine learning is deployed to learn topics from this news articles.
1: articles were also retrieved from the blog Space.com and from the Hubble