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A Linguistic Rule-Based Approach for Aspect-Level Sentiment Analysis of Movie Reviews

  • Rajesh PiryaniEmail author
  • Vedika Gupta
  • Vivek Kumar Singh
  • Udayan Ghose
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 553)

Abstract

Aspect-level sentiment analysis refers to sentiment polarity detection from unstructured text at a fine-grained feature or aspect level. This paper presents our experimental work on aspect-level sentiment analysis of movie reviews. Movie reviews generally contain user opinion about different aspects such as acting, direction, choreography, cinematography, etc. We have devised a linguistic rule-based approach which identifies the aspects from movie reviews, locates opinion about that aspect and computes the sentiment polarity of that opinion using linguistic approaches. The system generates an aspect-level opinion summary. The experimental design is evaluated on datasets of two movies. The results achieved good accuracy and shows promise for deployment in an integrated opinion profiling system.

Keywords

Aspect-level sentiment analysis Linguistic approach Opinion profiling 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  • Rajesh Piryani
    • 1
    Email author
  • Vedika Gupta
    • 2
  • Vivek Kumar Singh
    • 3
  • Udayan Ghose
    • 4
  1. 1.Department of Computer ScienceSouth Asian University (SAU)New DelhiIndia
  2. 2.Computer Science DepartmentNational Institute of Technology Delhi (NITD)DelhiIndia
  3. 3.Department of Computer ScienceBanaras Hindu University (BHU)VaranasiIndia
  4. 4.School of ICTGuru Gobind Singh Indraprastha University (GGSIPU)DelhiIndia

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