552
Views
18
CrossRef citations to date
0
Altmetric
Original Articles

Text feature selection for sentiment classification of Chinese online reviews

, , &
Pages 425-439 | Received 11 Mar 2012, Accepted 12 Aug 2012, Published online: 30 Nov 2012

References

  • AbbasiA, ChenH, SalemA. 2008. Sentiment Analysis in Multiple Languages: Feature Selection for Opinion Classification in Web Forums. ACM Transactions on Information Systems. 26: 361–395.
  • AbbasiA, ZhangZ, ChenH. 2011. Selecting Attributes for Sentiment Classification Using Feature Relation Networks. IEEE Transaction on Knowledge and Data Engineering. 23: 447–461.
  • Bian, Z. (1998), ‘Pattern Recognition’, Tsinghua University Publication, Beijing.
  • Denecke, K. (2008), ‘Using SentiWordNet for Multilingual Sentiment Analysis,’ in Proceedings of the IEEE 24th International Conference on Data Engineering Workshop, Cancún, México, 7–12 April, pp. 507–512. .
  • Devitt, A., and Ahmad, K. (2007), ‘Sentiment Polarity Identification in Financial News: A. Cohesion-based Approach’, in Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics, Prague, Czech Republic, 23–30 June, pp. 984–991.
  • Jiang, L. (2006), ‘An Approach of Sentiment Classification Using SVM for Chinese Texts’, in Proceedings of the 2006 International Conference on Artificial Intelligence, Las Vegas, NV, 26–29 June, pp. 759–761.
  • LiX, ZhangX, ShenL. 2005. A Selection Means on the Parameter of Radius Basis Function. Chinese Journal of Electronics. 33: B122459–2463.
  • Mladenic, D., and Grobelnik, M. (1999), ‘Feature Selection for Unbalanced Class Distribution and Naive Bayes’, in Proceedings of the 16th International Conference on Machine Learning, Bled, Slovenia, 27–30 June, pp. 258–267.
  • Mullen, T., and Collier, N. (2004), ‘Sentiment Analysis Using Support Vector Machines with Diverse Information Sources’, in Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing, Hainan Island, China, 22–24 March, pp. 412–418.
  • Ng, H.T., Goh, W.B., and Low, K.L. (1997), ‘Feature Selection, Perceptron Learning and a Usability Case Study for Text Categorization’, in Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Philadelphia, PA, 27–31 July, pp. 67–73.
  • Ni, X., Xue, G., Ling, X., Yu, Y., and Yang, Q. (2007), ‘Exploring in the Weblog Space by Detecting Informative and Affective Articles’, in Proceedings of the 16th International Conference on World Wide Web, Banff, Alberta, Canada, 8–12 May, pp. 281–290.
  • Pang, B., Lee, L., and Vaithyanathan, S. (2002), ‘Thumbs Up? Sentiment Classification Using Machine Learning Techniques’, in Proceedings of the Conference on Empirical Methods in Natural Language Processing, Philadelphia, PA, 6–7 July, pp. 79–86.
  • Phienthrakul, T., Kijsirikul, B., Takamura, H., and Okumura, M. (2009), ‘Sentiment Classification with Support Vector Machines and Multiple Kernel Functions’, in Proceedings of 16th International Conference on Neural Information Processing, Bangkok, Thailand, 1–5 December, pp. 583–592.
  • QinJ, ChenX, WangW, LuN. 2003. Feature Extraction in Text Categorization. Computer Applications. 23: 45–46.
  • Shi W., Qi, G., and Meng, F. (2005), ‘Sentiment Classification for Book Reviews Based on SVM Model’, in Proceedings of the 2005 International Conference on Management Science and Engineering, Inchon University, Republic of Korea, 20–22 July, pp. 214–217.
  • TangH, TanS, ChengX. 2007. Comparison Research on Sentiment Classification of Chinese Reviews Based on Supervised Machine Learning Techniques. Journal of Chinese Information Processing. 21: 55–94.
  • Turney, P.D. (2002), ‘Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews’, in Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics, Philadelphia, PA, 7–12 July, pp. 417–424.
  • WangH, LiuX, YinP, LiuJ. 2010. Survey of Sentiment Classification on Web Text. Journal of the China Society for Scientific and Technical Information. 29: 931–938.
  • WeiZ, MiaoD, ChauchatJH, ZhongC. 2008. Feature Selection on Chinese Text Classification Using Character N-Grams. Lecture Notes in Computer Science. 5009: 500–507.
  • Xia, H., and Peng, L. (2009), ‘SVM-Based Comments Classification and Mining of Virtual Community: For Case of Sentiment Classification of Hotel Reviews’, in Proceedings of the International Symposium on Intelligent Information Systems and Applications, Qingdao, China, 28–30 October, pp. 507–511.
  • XuJ, DingY, WangX. 2007. Sentiment Classification for Chinese News Using Machine Learning Methods. Journal of Chinese Information Processing. 21: 95–100.
  • Yang, Y., and Pedersen, J.O. (1997), ‘A. Comparative Study on Feature Selection in Text Categorization’, in Proceedings of the 14th International Conference on Machine Learning, Montreal, Canada, 14–18 June, pp. 412–420.
  • YaoJN, WangHW, YinP. 2011. Sentiment Feature Identification from Chinese Online Reviews. Communications in Computer and Information Science. 201: 315–322.
  • Ye, Q., Qin, B., and Li, Y. (2005), ‘Sentiment Classification for Chinese Reviews: A Comparison between SVM and Semantic Approaches’, in Proceedings of the 2005 International Conference on Machine Learning and Cybernetics, Guangzhou, China, 18–21 August, pp. 2341–2346.
  • YeQ, ZhangZ, LawR. 2009. Sentiment Classification of Online Reviews to Travel Destinations by Supervised Machine Learning Approaches. Expert Systems with Applications. 36: 6527–6535.
  • ZhangZ, YeQ, LawR, LiY. 2009. Sentiment Classification of Online Cantonese Reviews by Supervised Machine Learning Approaches. International Journal of Web Engineering and Technology. 5: 382–397.
  • ZhangZQ, YeQ, ZhangZL, LiYJ. 2011. Sentiment Classification of Internet Restaurant Reviews Written in Cantonese. Expert Systems with Applications. 38: 7674–7682.
  • ZhaoY, QinB, CheW, LiuT. 2010. Appraisal Expression Recognition with Syntactic Path for Sentence Sentiment Classification. International Journal of Computer Processing of Oriental Languages. 23: 21–37.
  • ZhouJ, LinC, LiB. 2010. Research of Sentiment Classification for Netnews Comments by Machine Learning. Journal of Computer Applications. 30: 1011–1014.
  • ZhouX, ZhaoM, HuM. 2004. Research on Feature-selection in Chinese Text Classification. Journal of Chinese Information Processing. 18: 17–23.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.