Aspect extraction in sentiment analysis: comparative analysis and survey

Author:

Rana Toqir A.,Cheah Yu-N

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference87 articles.

1. Agraval R, Srikant R (1994) Fast algorithms for mining association rules in large data bases. In: 20th inter-national conference on very large databases. Santiagom

2. Bafna K, Toshniwal D (2013) Feature based summarization of customers’ reviews of online products. Proc Comput Sci 22:142–151

3. Bagheri A, Saraee M, De Jong F (2013a) Care more about customers: unsupervised domain-independent aspect detection for sentiment analysis of customer reviews. Knowl Based Syst 52:201–213

4. Bagheri A, Saraee M, de Jong F (2013b) An unsupervised aspect detection model for sentiment analysis of reviews. In: Natural language processing and information systems. Springer, pp 140–151

5. Bancken W, Alfarone D, Davis J (2014) Automatically detecting and rating product aspects from textual customer reviews. In: (To appear in) Proceedings of DMNLP workshop at ECML/PKDD

Cited by 134 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing aspect-based sentiment analysis using sentence embedding transformer, bayesian search clustering, and sparse attention mechanism;Journal of Open Innovation: Technology, Market, and Complexity;2024-03

2. Feature extraction from customer reviews using enhanced rules;PeerJ Computer Science;2024-01-31

3. Applying Sentiment Analysis on Children’s Stories;2023 4th International Informatics and Software Engineering Conference (IISEC);2023-12-21

4. Weakly Supervised Learning Approach for Implicit Aspect Extraction;Information;2023-11-13

5. Dependency parsing masking and BERT for sentiment analysis;Sixth International Conference on Computer Information Science and Application Technology (CISAT 2023);2023-10-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3