Factorisation based text mining algorithms and application

Presented by Assoc. Professor Richi Nayak

The rapid increase in the number of large repositories containing digital documents emphasizes the development of effective methods to manage the embedded content. Factorization methods have been used to analyze and obtain meaningful insights from the text collections. This talk presents how a factorization method can be used to represent the high-dimensional data and obtain a low-order representation. It further provides insights on how the low-order representation can be used in applications such as clustering anomaly detection, community detection, and personalisation.

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Start Date: 10/04/2020 [add to calendar]
Start Time: 2pm
End Date: 10/04/2020
End Time: 3pm