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A Frequency-Based Approach to Extract Aspect for Aspect-Based Sentiment Analysis

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Proceedings of Second International Conference on Computing, Communications, and Cyber-Security

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 203))

Abstract

Data is king nowadays, and users worldwide express their views on different platforms to aggregate this data and analyze it. Sentiment analysis becomes a major tool for analysts. Sentiment analysis can be done on different levels. This will be discussing a more granular level of sentiment analysis using aspect-based sentiment analysis, which aims to predict the sentiment polarity of text for a specific target. The majority of work done in this field focuses on the extraction of aspect or feature and then finding their sentiments polarity and aggregating them to find the whole text's final polarity. Aspect extraction is the key to this process; our work will be focusing on aspect extraction. In this paper, we will address the issue of aspect extraction and then propose our approach to deal with it and show how it is better than these existing approaches.

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Authors and Affiliations

  1. GLA University, Mathura, UP281406, India

    Rahul Pradhan & Dilip Kumar Sharma

Authors
  1. Rahul Pradhan
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  2. Dilip Kumar Sharma
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Corresponding author

Correspondence to Rahul Pradhan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, India

    Pradeep Kumar Singh

  2. Institute of Computer Science, Polish Academy of Sciences, Warsaw, Poland

    Sławomir T. Wierzchoń

  3. Department of Computer Science and Engineering, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India

    Sudeep Tanwar

  4. Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland

    Maria Ganzha

  5. Instituto de Telecomunicações, Federal University of Piauí (UFPI), Teresina, Piauí, Brazil

    Joel J. P. C. Rodrigues

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© 2021 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Pradhan, R., Sharma, D.K. (2021). A Frequency-Based Approach to Extract Aspect for Aspect-Based Sentiment Analysis. In: Singh, P.K., Wierzchoń, S.T., Tanwar, S., Ganzha, M., Rodrigues, J.J.P.C. (eds) Proceedings of Second International Conference on Computing, Communications, and Cyber-Security. Lecture Notes in Networks and Systems, vol 203. Springer, Singapore. https://doi.org/10.1007/978-981-16-0733-2_35

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  • DOI: https://doi.org/10.1007/978-981-16-0733-2_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0732-5

  • Online ISBN: 978-981-16-0733-2

  • eBook Packages: EngineeringEngineering (R0)

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