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Graph-Based Sentiment Analysis Model for E-Commerce Websites’ Data

  • Monali Bordoloi
  • Saroj Kumar Biswas
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 768)

Abstract

E-Commerce has evolved tremendously in the past few years. To enhance the existing business position, the commercial sites need to understand the underlying sentiment of the customers. To do so, efficient sentiment analysis technique is highly desirable in order to deeply understand the underlying meaning and sentiment of the customers. This paper proposes an effective sentiment analysis model that makes use of graph-based keyword extraction using degree centrality measure and domain dedicated polarity assignment techniques for the advanced analysis of mobile handset reviews collected from different electronic commercial sites. The proposed model outperforms some of the existing models.

Keywords

Sentiment analysis Keyword extraction Graph-based approach POS tagging 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringNational Institute of TechnologySilcharIndia

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