ISSN (Online) : 2456 - 0774

Email : ijasret@gmail.com

ISSN (Online) 2456 - 0774

 

Sentiment Analysis Based on Interpretive Structure Modeling ForFeature Selection and Extraction

Abstract

Sentiment analysis andopinion mining is an emerging area of research for analysing web data andcapturing the sentiment of the users. Sentimentanalysis is the calculative analysis of views, sentiments, opinions andpositivity or negativity of a text. This paper identifies the factors that areresponsible for the different sentiments of a person regarding a particularentity. In this work, the objective is to categorize the factors that influencethe system of sentiment analysis due to varied sentiments of an individual. The evaluation of theproposed model ISM, using the performance evaluation measures prove thatsentiment expressed in a post should be considered as an important factor foridentifying influential bloggers. The findings also indicate that ISM showsbetter results to find the influential bloggers as compared to the existingmethods.

Keywords:Sentiment Analysis, Level of SentimentAnalysis, Feature Extraction and Selection, ISM (Interpretive StructureModelling)

Full Text PDF

IMPORTANT DATES 

Submit paper at ijasret@gmail.com

Paper Submission Open For April  20212
UGC indexed in (Old UGC) 2017
Last date for paper submission 30th April, 2022
Deadline Submit Paper any time
Publication of Paper Within 01-02 Days after completing all the formalities
Paper Submission Open For Publication /online Conference 
Publication Fees  
Free for PR Students