ANALYSING PRODUCT REVIEWS USING DEEP-LEARNING MODEL

Abstract

Due to explosive evolution and popularity of electronic media, Online shopping and Social media sites, vast amount of user review and experience available in the form of raw data. It can be used for opining mining or sentiment mining and other pattern identi cation tasks. Opining mining or sentiment mining and summerization of review regarding any particular topic used to provide insights and can be used as feedback to improve or address concerns regarding that topic and helpful in future planning. Most of the work done so far in this eld foced on run of the mill, well de ned techniques like K-NN, SVM and others machnine learning algorithms to classify the text into two or more classes. However, traditional techniques peak out, in term of accuracy in certain limit. Additional improvement in term of accuracy reported using deep learning model LSTM-RNN with pre-trained word embedding. The aim of the present work is to improve existing techniques for opinion mining or sentiment analysis.