计算机科学 ›› 2020, Vol. 47 ›› Issue (6): 194-200.doi: 10.11896/jsjkx.200200127
张严, 李天瑞
ZHANG Yan, LI Tian-rui
摘要: 面向评论的方面级情感分析(Aspect-Based Sentiment Analysis,ABSA)是文本分析的关键问题之一。随着社交媒体的迅猛发展,网络评论的数量呈爆炸式增长,越来越多的人愿意在网络上表达自己的态度和情感,但是网络评论的风格与质量参差不齐,如何从中准确地提取用户的方面观点倾向成为了一个难点。同时,用户在浏览评论时也更加关注一些细粒度的信息,对评论进行方面级情感分析能够帮助用户更好地做出决策。文中首先介绍了方面级情感分析的相关概念与问题描述;然后从方面提取和基于方面的情感分析两个角度介绍了近年来国内外方面级情感分析的研究现状;随后分享了方面级情感分析任务相关的语料库和情感词典资源;最后分析了方面级情感分析所面临的挑战,以及未来可能的研究方向。
中图分类号:
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