title: Clustering Using Latent Symantic Analysis
body: <p>Suppose I have a corpus of documents and I run LSA algorithm on it. How can I use the final matrix obtained after applying SVD to semantically cluster all the words appearing in my corpus of documents? Wikipedia says LSA can be used to find relation between terms. Is there any library available in Python which can help me accomplish my task of semantically clustering words based on LSA?</p>