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DomSent: Domain-Specific Aspect Term Extraction in Aspect-Based Sentiment Analysis

  • Ganpat Singh ChauhanEmail author
  • Yogesh Kumar Meena
Conference paper
  • 222 Downloads
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 141)

Abstract

In recent research aspect-based sentiment analysis has played a vital role in identifying user’s opinions from the unstructured natural text. One of the most critical subtasks in aspect-based sentiment analysis is to extract the most prominent aspect terms. In this paper, we have studied previous research done on aspect term extraction and proposed an approach DomSent to identify aspects using domain-specific information while applying frequency and similarity pruning. Our experimental results show that the aspect extraction using domain-specific information contributes better as compared to the recent aspect term extraction approaches.

Keywords

Opinion mining Sentiment analysis Domain-specific information Aspect-based sentiment analysis Aspect term extraction Machine-learning 

Notes

Acknowledgements

We would like to extend our acknowledgement to all the volunteers for carrying out sentiment analysis on a huge database in order to achieve survey based experimental results.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.MNITJaipurIndia

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