A Comprehensive Survey on Aspect Based Sentiment Analysis

June 08, 2020 ยท The Cartographer ยท ๐Ÿ› arXiv.org

๐Ÿ“š THE CARTOGRAPHER: The Cartographer
Survey/review paper โ€” maps the landscape rather than implementing a method.

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"Title-pattern auto-detect: A Comprehensive Survey on Aspect Based Sentiment Analysis"

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Authors Kaustubh Yadav arXiv ID 2006.04611 Category cs.CL: Computation & Language Cross-listed cs.LG Citations 1 Venue arXiv.org Last Checked 4 days ago
Abstract
Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis. In this study, our aim is to explore the various methodologies practiced while performing ABSA, and providing a comparative study. This survey paper discusses various solutions in-depth and gives a comparison between them. And is conveniently divided into sections to get a holistic view on the process.
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