A Supervised Fine-Grained Sentiment Analysis System for Online Reviews

References

• Balamurali, A. R., Joshi, A., & Bhattacharyya, P. (2011). Harnessing WordNet senses for supervised sentiment classification. In Proceeding of EMNLP'2011 (pp. 1081–1091). Retrieved from http://www.aclweb.
   Google Scholar
• Chaovalit, P., & Zhou, L. (2005). Movie review mining: A comparison between supervised and unsupervised classification approaches. In Proceedings of the 38th Hawaii international conference on system sciences (pp. 1–9). doi:10.1109/HICSS.2005.445.
   Google Scholar
• Choi, Y. J., Eric, B., & Claire, C. (2006). Joint extraction of entities and relations for opinion recognition. In Proceedings of EMNLP'2006 (pp. 431–439). doi:10.3115/1610075.1610136.
   Google Scholar
• CNNIC. (2014). 34nd China internet development statistics report. Retrieved from http://www.cnnic.cn.
   Google Scholar
• Ding, X., Liu, B., & Yu, P. S. (2008). A holistic lexicon based approach to opinion mining. In Proceeding of the international conference on web search and web data mining (pp. 231–239). doi:10.1145/1341531.1341561.
   Google Scholar
• Fu, G., & Lukev, K. K. (2005). Chinese named entity recognition using lexicalized HMMs. In Proceedings of KDD'2005 (pp. 19–25). doi:10.1145/1089815.1089819.
   Google Scholar
• He, Y., Lin, C., & Alani, H. (2011). Automatically extracting polarity-bearing topics for cross-domain sentiment classification. In Proceedings of ACL'2011 (pp. 123–131). Retrieved from http://www.aclweb.org/anthology/P/P11/.
   Google Scholar
• Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. In Proceedings of KDD'2004 (pp. 168–177). doi:10.1145/1014052.1014073.
   Google Scholar
• Jakob, N., & Gurevych, I. (2010). Extracting opinion targets in a single- and cross-domain setting with conditional random fields. In Proceedings of EMNLP'2010 (pp. 1035–1045). Retrieved from http://www.aclweb.org/anthology/D/D10.
   Google Scholar
• Kim, S. M., & Hovy, E. (2006). Extracting opinions, opinion holders, and topics expressed in online news media text. In Proceedings of ACL workshop on sentiment and subjectivity in text (pp. 1–8). doi:10.3115/1654641.1654642.
   Google Scholar
• Ku, L. W., Huang, T. H., & Chen, H. H. (2009). Using morphological and syntactic structures for Chinese opinion analysis. In Proceedings of EMNLP'2009 (pp. 1260–1269). doi:10.3115/1699648.1699672.
   Google Scholar
• Ku, L. W., Liang, Y. T., & Chen, H. H. (2006). Opinion extraction, summarization and tracking in news and blog corpora. In Proceedings of AAAI'2006 (pp. 100–107). Retrieved from http://www.aaai.org/Library/Symposia/Spring/2006/ss06-03-020.php.
   Google Scholar
• Lafferty, J. D., McCallum, A., & Pereira, F. C. N. (2001). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proceedings of ICML'2001 (pp. 282–289). Retrieved from http://www.icml-2011.org/.
   Google Scholar
• Li, J. H., Zhou, G. D., Zhao, H., Zhu, Q. M., & Qian, P. D. (2009). Improving nominal SRL in Chinese language with verbal SRL information and automatic predicate recognition. In Proceedings of EMNLP'2009 (pp. 1280–1288). doi:10.3115/1699648.1699674.
   Google Scholar
• Mullen, T., & Collier, N. (2004). Sentiment analysis using support vector machines with diverse information sources. In Proceedings of EMNLP'2004 (pp. 412–418). Retrieved from http://www.aclweb.org/anthology/W/W04/#3200.
   Google Scholar
• Ng, H. T., & Low, J. K. (2004). Chinese part-of-speech tagging: One-at-a-time or all-at-once? Word-based or Character-based. In Proceedings of EMNLP'2004 (pp. 277–284). Retrieved from http://www.aclweb.org/anthology/W/W04/#3200.
   Google Scholar
• Popescu, A., & Etzioni, O. (2005). Extracting product features and opinions from reviews. In Proceedings of EMNLP'2005 (pp. 339–346). doi:10.3115/1220575.1220618.
   Google Scholar
• Pang, B., & Lee, L. (2005). Seeing stars: Exploiting class relationships for sentiment categorization with respect to rating scales. In Proceedings of ACL'2005 (pp. 115–124). doi:10.3115/1219840.1219855.
   Google Scholar
• Pang, B., Lee, L., & Vaithyanathan, S. (2002). Thumbs up? Sentiment classification using machine learning techniques. In Proceedings of EMNLP'2002 (pp. 79–86). doi:10.3115/1118693.1118704.
   Google Scholar
• Shen, D., & Lapata, M. (2007). Using semantic roles to improve question answering. In Proceeding of EMNLP-CoNIL'2007 (pp. 12–21). Retrieved from http://www.aclweb.org/anthology/D/D07/.
   Google Scholar
• Wei, J., Hung, H. H., & Rohini, K. S. (2009). OpinionMiner: A novel machine learning system for web opinion mining and extraction. In Proceedings of KDD'2009 (pp. 1195–1204). Retrieved from http://www.sigkdd.org/kdd2009/.
   Google Scholar
• Wei, H. P. (2004). Reflections on the relationship between Chinese characters and words. In Journal of Nanjing Normal University (Social Science Edition) (pp. 135–140). Retrieved from http://www.cnki.net/.
   Google Scholar
• Whitelaw, C., Garg, N., & Argamon, S. (2005). Using appraisal groups for sentiment analysis. In Proceedings of CIKM'2005 (pp. 625–631). doi:10.1145/1099554.1099714.
   Google Scholar
• Xue, N. (2008). Labeling Chinese predicates with semantic roles. Computational Linguistics, 34, 225–255. doi:10.1162/coli.2008.34.2.225.
   Web of Science ®Google Scholar
• Zhuang, L., Jing, F., & Zhu, X. Y. (2006). Movie review mining and summarization. In Proceedings of CIKM'2006 (pp. 43–50). doi:10.1145/1183614.1183625.
   Google Scholar
• Zhu, Y. L., Min, J., Zhou, Y. Q., Huang, X. J., & Wu, L. D. (2006). Semantic orientation computing based on HowNet. Journal of Chinese Information Processing, 20, 14–20. Retrieved from http://www.cnki.net/.
   Google Scholar