Enhanced Twitter Sentiment Analysis Using Hybrid Approach and by Accounting Local Contextual Semantic

Enhanced Twitter Sentiment Analysis Using Hybrid Approach and by Accounting Local Contextual Semantic

This paper addresses the problem of Twitter sentiment analysis through a hybrid approach in which SentiWordNet (SWN)-based feature vector acts as input to the classification model Support Vector Machine. Our main focus is to handle lexical modifier negation during SWN score calculation for the impro...

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Bibliographic Details
Main Authors: Gupta Itisha, Joshi Nisheeth
Format: Article
Language:English
Published: De Gruyter 2019-09-01
Series:Journal of Intelligent Systems
Subjects:
twitter sentiment analysis
sentiwordnet
negation handling
lexical modifier
shift approach
sentiment analysis
negation exception
Online Access:https://doi.org/10.1515/jisys-2019-0106

Internet

https://doi.org/10.1515/jisys-2019-0106

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