Vec2Topic is a Topic Modelling algorithm that extracts the core topics from a text corpus. Try it out by pasting either text or a link to a webpage in the area below. Vec2Topic is designed for large text corpora, with a total word count of at least 10,000.

Read our paper for more details: R. S. Randhawa, P. Jain, and G. Madan, Topic Modeling Using Distributed Word Embeddings.