IEEE

Talk on Latent Dirichlet Allocation

The IEEE Signal Processing Society, Bangalore Chapter and Department of Electrical Engineering, Indian Institute of Science, welcomes you to following talk.

Location and Date : MMCR, EE, Thursday Oct. 31, 4-5 pm

Speaker : Dr. Hemant Misra (Vice President, Head of Applied Research, Swiggy)  

Abstract : Topic models such as Latent Dirichlet Allocation (LDA: https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation) have been used extensively in the last decade for tasks such as information retrieval, topic discovery, dimensionality reduction etc. In the current presentation, the application of LDA for the task of text-segmentation (https://en.wikipedia.org/wiki/Text_segmentation#Topic_segmentation) has been explained. Results on multiple datasets are shown to demonstrate the performance of the proposed LDA based system vis-a-vis other standard methods. The talk also uncovers challenge faced by the dynamic programming (DP) algorithm used in proposed LDA based segmentation and how it was overcome.

Talk will also cover some of the exciting things we are doing at Swiggy in the Applied Research team in the areas of speech, computer vision (CV) and natural language processing (NLP).

Speaker Bio : Dr. Hemant Misra is an active researcher in the areas of text and signal processing, speech/speaker recognition, machine learning, healthcare applications and education. He did his MS (1999) from IIT, Madras, and PhD from EPFL (2006). Then he held post-doc positions at Telecom ParisTech, University of Glasgow, and Xerox Research Centre Europe.  After having successful stints at Philips (Healthcare) Research, IBM’s India Research Lab and Citicorp Services India, currently Hemant is ‘VP – Head of Applied Research’ at Swiggy.

Host Faculty : Sriram Ganapathy (EE)

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