A Comprehensive Survey on Aspect Based Sentiment Analysis

ArXiv Pub Date : 2020-06-08 DOI:10.1504/ijesms.2021.119892
K. Yadav
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引用次数: 1

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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基于面向的情感分析综述
基于方面的情感分析(ABSA)是自然语言处理的一个子领域,其本质上是将我们的数据分成几个方面,并最终提取情感信息。众所周知,ABSA比一般的情感分析提供更多关于上下文的信息。在本研究中,我们的目的是探索在执行ABSA时实践的各种方法,并提供比较研究。本文对各种解决方案进行了深入探讨,并进行了比较。并方便地分为几个部分,以获得对过程的整体视图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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