Tweet Topic Modeling: Cleaning and Preprocessing Tweets

Author(s): John Bica

Originally published on Towards AI.

Multi-part series showing how to scrape, preprocess and apply & visualize short text topic modeling for any collection of tweets

Disclaimer: This article is only for educational purposes. We do not encourage anyone to scrape websites, especially those web properties that may have terms and conditions against such actions.

Topic modeling is an unsupervised machine learning approach with the goal to find the “hidden” topics (or clusters) inside a collection of textual documents (a corpus). Its real strength is that you don’t need labeled or annotated data but instead it accepts the raw text data as input only, and hence why it is unsupervised. In other words, the model does not know what the topics are when it sees the data… Read the full blog for free on Medium.

Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.

Published via Towards AI