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Sentiment Analysis of Reviews using Opinion Mining on Web
Author(s) -
Kimberley Faria,
Karen S. Carvalho,
Arshiya Thakur,
Sarika Davare
Publication year - 2017
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/ijca2017915426
Subject(s) - computer science , sentiment analysis , data science , information retrieval , world wide web , artificial intelligence
Sentiment analysis and opinion mining is the field of study that analyzes people’s opinions, sentiments, evaluations, attitudes, and emotions from written language. It is the process of identifying opinions in large structured/ unstructured data and then analyzing polarity of these mined opinions. In this paper, the aim is to categorize polarity and identify the correct polarity for given sentiment. The intention is to use Recursive Neural Net-works(RNN) model. The goal is to gather product reviews and using this model to perform sentiment analysis on the collected data to make an informed and accurate suggestion to the user General Terms Sentiment analysis, Neural networks.

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