Open AccessSentiment Analysis Using Hybrid Approach
Author(s) -
Ganesh K. Shinde
Publication year - 2021
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2021.39202
Subject(s) - sentiment analysis , lexicon , computer science , artificial intelligence , variety (cybernetics) , natural language processing , social media , focus (optics) , support vector machine , polarity (international relations) , world wide web , physics , genetics , biology , optics , cell
Most important part of information gathering is to focus on how people think. There are so many opinion resources such as online review sites and personal blogs are available. In this paper we focused on the Twitter. Twitter allow user to express his opinion on variety of entities. We performed sentiment analysis on tweets using Text Mining methods such as Lexicon and Machine Learning Approach. We performed Sentiment Analysis in two steps, first by searching the polarity words from the pool of words that are already predefined in lexicon dictionary and in Second step training the machine learning algorithm using polarities given in the first step.Keywords: Sentiment analysis, Social Media, Twitter, Lexicon Dictionary, Machine Learning Classifiers, SVM.