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This code captures and identifies the underlying topics in documents stored in Lucene Index and allows conceptually similar documents to clustered together.in a more accurate way than using standard tf-idf representation
A multi-threaded version of the code that performs LDA on Lucene documents. This code reduces run time and extracts most of the generic topics cleanly but also extracts few noisy topics
MSc Paper
Open Source Libraries for High Performance Scientific and Technical Computing