Multi-aspect sentiment analysis for Chinese online social reviews based on topic modeling and HowNet lexicon

Knowledge-Based Systems - Tập 37 - Trang 186-195 - 2013
Xianghua Fu1, Liu Guo1, Guo Yanyan1, Zhiqiang Wang1
1College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong 518060, China

Tóm tắt

Từ khóa


Tài liệu tham khảo

Blei, 2003, Latent Dirichlet allocation, J. Mach. Learn. Res., 3, 993

Cannataro, 2010, Protein-to-protein interactions: technologies, databases, and algorithms, ACM Comput. Surv., 43, 1, 10.1145/1824795.1824796

Cao, 2008, A method of adaptively selecting best LDA model based on density, Chinese J. Comput., 31, 1780, 10.3724/SP.J.1016.2008.01780

Du, 2009, A new method to compute semantic orientation, J. Comput. Res. Develop., 46, 1713

M. Ganapathibhotla, B. Liu, Mining opinions in comparative sentences, in: Proceedings of the 22nd International Conference on Computational Linguistics, vol. 1, Publishing, Manchester, United Kingdom, 2008, pp. 241–248.

T.L. Griffiths, S. Mark, Finding scientific topics, in: Proceeding of the National Academy of Sciences of the United States of America. Publishing, 2004, pp. 5228–5235.

Hu, 2007, Research on language modeling based on sentiment classification of text, J. Comput. Res. Develop., 44, 1469, 10.1360/crad20070904

M. Jiang, S. Argamon, Exploiting subjectivity analysis in blogs to improve political leaning categorization, in: Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Publishing, Singapore, Singapore, 2008, pp. 725–726.

O. Jin, N.N. Liu, K. Zhao, Y. Yu, Q. Yang, Transferring topical knowledge from auxiliary long texts for short text clustering, in: Proceedings of the 20th ACM International Conference on Information and Knowledge Management. Publishing, Glasgow, Scotland, UK, 2011, pp. 775–784.

H.D. Kim, C. Zhai, Generating comparative summaries of contradictory opinions in text, in: Proceeding of the 18th ACM Conference on Information and Knowledge Management. Publishing, Hong Kong, China, 2009, pp. 385–394.

F. Li, M. Huang, X. Zhu, Sentiment analysis with global topics and local dependency, in: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10). Publishing, Atlanta, Georgia, USA, 2010, pp. 1371–1376.

Liao, 2009, Research on blog opinion retrieval based on probabilistic inference model, J. Comput. Res. Develop., 46, 1530

C. Lin, Y. He, Joint sentiment/topic model for sentiment analysis, in: Proceeding of the 18th ACM Conference on Information and Knowledge Management. Publishing, Hong Kong, China, 2009, pp. 375–384.

W.-H. Lin, T. Wilson, J. Wiebe, A. Hauptmann, Which side are you on?: identifying perspectives at the document and sentence levels, in: Proceedings of the Tenth Conference on Natural Language Learning, Publishing, New York City, New York, 2006, pp. 109–116.

Q. Liu, S. Li, Word Semantic Similarity Computation based on Hownet, the 3th Chinese Lexical Semantic Workshop (CLSW2002), Publishing, Taipei, 2002.

Malouf, 2008, Taking sides: user classification for informal online political discourse, Internet Res., 18, 177, 10.1108/10662240810862239

Q. Mei, X. Ling, M. Wondra, H. Su, C. Zhai, Topic sentiment mixture: modeling facets and opinions in weblogs, in: Proceedings of the 16th International Conference on World Wide Web. Publishing, Banff, Alberta, Canada, 2007, pp. 171–180.

H.-J. Min, J.C. Park, Toward finer-grained sentiment identification in product reviews through linguistic and ontological analyses, in: Proceedings of the ACL-IJCNLP 2009 Conference Short Papers. Publishing, Suntec, Singapore, 2009, pp. 169–172.

T. Mullen, R. Malouf, A preliminary investigation into sentiment analysis of informal political discourse, in: AAAI Symposium on Computational Approaches to Analysing Weblogs (AAAI-CAAW). Publishing, 2006, pp. 159–162.

N. O’Hare, M. Davy, A. Bermingham, P. Ferguson, P. Sheridan, C. Gurrin, A.F. Smeaton, Topic-dependent sentiment analysis of financial blogs, in: Proceeding of the 1st International CIKM Workshop on Topic-Sentiment Analysis for Mass Opinion. Publishing, Hong Kong, China, 2009, pp. 9–16.

Pang, 2008, Opinion mining and sentiment analysis, Found. Trends Inf. Retr., 2, 1, 10.1561/1500000011

B. Pang, L. Lee, S. Vaithyanathan, Thumbs up? Sentiment classification using machine learning techniques, in: Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing, vol. 10. Publishing, 2002, pp. 79–86.

Phan, 2011, A hidden topic-based framework toward building applications with short web documents, IEEE Trans. Knowl. Data Eng., 23, 961, 10.1109/TKDE.2010.27

X.-H. Phan, L.-M. Nguyen, S. Horiguchi, Learning to classify short and sparse text & web with hidden topics from large-scale data collections, in: Proceeding of the 17th International Conference on World Wide Web. Publishing, Beijing, China, 2008, pp. 91–100.

V. Satuluri, S. Parthasarathy, Scalable graph clustering using stochastic flows: applications to community discovery, in: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Publishing, Paris, France, 2009, pp. 737–746.

S. Somasundaran, J. Wiebe, Recognizing stances in ideological on-line debates, in: Proceedings of the NAACL HLT 2010 Workshop on Computational Approaches to Analysis and Generation of Emotion in Text. Publishing, Los Angeles, California, 2010, pp. 116–124.

Q. Su, X. Xu, H. Guo, Z. Guo, X. Wu, X. Zhang, B. Swen, Z. Su, Hidden sentiment association in chinese web opinion mining, in: Proceeding of the 17th International Conference on World Wide Web. Publishing, Beijing, China, 2008, pp. 959–968.

Tang, 2007, Research on sentiment classification of chinese reviews based on supervised machine learning techniques, J. Chinese Inform. Process., 21, 108

Tao, 2010, Topic oriented sentimental feature selection method for news comments, J. Chinese Inform. Process., 24, 37

I. Titov, R. McDonald, A Joint Model of Text and Aspect Ratings for Sentiment Summarization, ACL’08. Publishing, 2008a, pp. 308–316.

I. Titov, R. McDonald, Modeling online reviews with multi-grain topic models, in: Proceeding of the 17th International Conference on World Wide Web. Publishing, Beijing, China, 2008b, pp. 111–120.

P.D. Turney, Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews, in: Proceedings of the 40th Annual Meeting on Association for Computational Linguistics. Publishing, Philadelphia, Pennsylvania, 2002, pp. 417–424.

P.D. Turney, Thumbs up or thumbs down? Semantic orientation applied to unsupervised classification of reviews, in: Proceedings of the 40th Annual Meeting on Association for, Computational Linguistics, 2002, pp. 417–424.

Turney, 2003, Measuring praise and criticism: inference of semantic orientation from association, ACM Trans. Inf. Syst., 21, 315, 10.1145/944012.944013

H. Wang, Y. Lu, C. Zhai, Latent aspect rating analysis on review text data: a rating regression approach, in: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Publishing, Washington, DC, USA, 2010, pp. 783–792.

C. Whitelaw, N. Garg, S. Argamon, Using appraisal groups for sentiment analysis, in: Proceedings of the 14th ACM International Conference on Information and Knowledge Management. Publishing, Bremen, Germany, 2005, pp. 625–631.

Y. Wu, Q. Zhang, X. Huang, L. Wu, Phrase dependency parsing for opinion mining, in: Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3, vol. 3. Publishing, Singapore, 2009, pp. 1533–1541.

Xu, 2007, Sentiment classification for Chinese news using machine learning methods, J. Chinese Inform. Process., 21, 95

Xu, 2007, Text orientation identification based on semantic comprehension, J. Chinese Inform. Process., 21, 96

Yang, 2010, Analysis on web public opinion orientation based on extending sentiment lexicon, J. Chinese Comput. Syst., 31, 691

Ye, 2009, Sentiment classification of online reviews to travel destinations by supervised machine learning approaches, Expert Syst. Appl., 36, 6527, 10.1016/j.eswa.2008.07.035

W.X. Zhao, J. Jiang, H. Yan, X. Li, Jointly modeling aspects and opinions with a MaxEnt-LDA hybrid, in: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing. Publishing, Cambridge, Massachusetts, 2010, pp. 56–65.

Zhu, 2006, Semantic orientation computing based on HowNet, J. Chinese Inform. Process., 20, 14