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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      09 May 2023, Volume 38 Issue 3
    Article

    ASPECT-BASED SENTIMENT ANALYSIS: A COMPREHENSIVE SURVEY OF TECHNIQUES AND APPLICATIONS
    Sampathirao Suneetha1 , Prof. S. Viziananda Row2
    Journal of Data Acquisition and Processing, 2023, 38 (3): 177-203 . 

    Abstract

    Identifying the sentiment of particular features or aspects of a service or product is the goal of the NLP subfield known as Aspect-Based Sentiment Analysis (ABSA). ABSA is a challenging task that requires the analysis of multiple aspects in a single text, as well as the identification of the sentiment of each aspect. This study presents a comprehensive summary of ABSA, including its importance, challenges, applications, and recent advances. We review state-of-the-art ABSA models, datasets, and evaluation metrics and comprehensively review their advantages and drawbacks. We also discuss the current trends and future directions in ABSA research.

    Keyword

    Sentiment Analysis, Aspect-Based Sentiment Analysis, Aspect Extraction, Sentiment classification.


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ISSN 1004-9037

         

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