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implicit-features-revopid's Introduction

Review Opinion Diversification

A project I worked on in my 3rd Semester. RevOpiD was a shared task in IJCNLP 2017, Taipei, Taiwan.

I implemented three approaches of solving the problem -

Opinion Feature Mining (Mining Opinion Features in Customer Reviews (Liu et al.))

Doc2Vec Model and Clustering

Facebook Research's InferSent model for sebtence embeddings with Clustering

Implicit Feature Detection

This project was done under the guidance of Dr. A.K. Singh, Associate Professor, Department of Computer Science and Engineering, IIT (BHU) Varanasi.

Also, special thanks to Avijit Thawani for his mentorship and the intersting ideas he provided to solve the problems I faced in the way.

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