OntoLSA—An Integrated Text Mining System for Ontology Learning and Sentiment Analysis-Reference-Cited by-同舟云学术

OntoLSA—An Integrated Text Mining System for Ontology Learning and Sentiment Analysis

Published:2016 Issue: Volume: Page:399-423
ISSN:1860-949X
Container-title:Sentiment Analysis and Ontology Engineering
language:
Short-container-title:

Author:

Kamal Ahmad,Abulaish Muhammad,Jahiruddin

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-30319-2_16

Reference45 articles.

1. Abulaish, M.: An ontology enhancement framework to accommodate imprecise concepts and relations. J. Emerg. Technol. Web Intell. 1(1), 22–36 (2009)

2. Abulaish, M., Jahiruddin, M.N.D., Ahmad, T.: Feature and opinion mining for customer review summarization. In: Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence (PReMI’09), pp. 219–224 (2009)

3. Allan, J., Wade, C., Bolivar, A.: Retrieval and novelty detection at the sentence level. In: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 314–321 (2003)

4. Bloom, K., Garg, N., Argamon, S.: Extracting appraisal expressions. In: Proceedings of Human Language Technologies 2007: the Conference of the North American Chapter of the Association for Computational Linguistics, pp. 308–315 (2007)

5. Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123–140 (1996)

Cited by 3 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. Perception and Sentiment Analysis on Empathic Brand Initiative During the COVID-19 Pandemic: Indonesia Perspective;Journal of Creative Communications;2021-08-01

2. Document-Level Sentiment Analysis through Incorporating Prior Domain Knowledge into Logistic Regression;2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT);2020-12

3. SentiLangN: A Language-Neutral Graph-Based Approach for Sentiment Analysis in Microblogging Data;IEEE/WIC/ACM International Conference on Web Intelligence;2019-10-14