Invited for WorkShop on Tackling Unstructured Data by American Council on Science

Chandigarh November 13, 2019

Dr. Gurpreet Singh Bawa who just completed his Ph.D under the supervision of Professor Suresh Kumar Sharma, Department of Statistics, Panjab University, Chandigarh has been invited to conduct a session on unstructured data analysis in the upcoming annual conference on Computational Science & Computational Intelligence (CSCI) to be held at Las Vegas, USA, from 5-7th December, 2019. The conference has been organized by the reputed American Council on
Science and Education (ACSE). The sessions will also involve showcase of his recent innovation on ‘Fine tuning feedback-based recommendation system using deep learning models in word vector space representations’. Prof Suresh Kumar Sharma has been consistently advising him with all his innovation work.

            Dr. Gurpreet has been actively involved in innovation and research work in the domain of unstructured data analysis and has many research papers in this area in international and national Journals of repute. In the past, extensive research has been done by Gurpreet on subjects such as latent topic fine tuning, identification of conversational drivers of textual product reviews, deriving personality traits of consumers from social media posts and object detection retail monitoring using image processing. Recently, he has also written a book “Text as Data”, and it is related to modelling
techniques for unstructured data analysis. Additionally, he has worked on developing in-house assets such as intelligent chatbot for retail ordering and customer intelligence.

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