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The science behind Predictive Analytics- a Text Mining Perspective
Submitted by Ankur Pandey (@ankurpandey42) on Monday, 2 July 2012
Section: Data Analytics Technical level: Intermediate Session type: Lecture
I will introduce key concepts and algorithms from Statistics, Machine Learning, Information Retrieval, etc. which are being used in the text mining side of the predictive analytics domain.
The abundance of structured and unstructured interaction data (web journey metrics, chats, etc.), motivates us to leverage the power of this data. I'll concentrate on the algorithms which are being deployed now-a-days to dig out inferences from customer text data. I will illustrate with some use cases.
Ankur Pandey works in the Analytics & Data Sciences group at 7 Innovation Labs. Prior to this, he had research experience at IISc, masters from TU/e Netherlands & JKU Austria, and a bachelors from NITK Surathkal.