Vec2Topic is a Topic Modeling 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. The text can be of any form: a single document or multiple documents that are pasted one below the other in the textbox; there is no need to add any delimiters or pre-process the text. Vec2Topic is designed for 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.