| 參考文獻 |
[1] Baroni, M., & Vegnaduzzo, S. (2004). Identifying subjective adjectives through web-based mutual information. Paper presented at the Proceedings of KONVENS.
[2] Bjørkelund, E., Burnett, T. H., & Nørvåg, K. (2012). A study of opinion mining and visualization of hotel reviews. Paper presented at the Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services.
[3] Church, K. W., & Hanks, P. (1990). Word association norms, mutual information, and lexicography. Computational linguistics, 16(1), 22-29.
[4] Esuli, A., & Sebastiani, F. (2006). Determining term subjectivity and term orientation for opinion mining. Paper presented at the 11th Conference of the European Chapter of the Association for Computational Linguistics.
[5] Esuli, A., & Sebastiani, F. (2006). Sentiwordnet: A publicly available lexical resource for opinion mining. Paper presented at the LREC.
[6] Handler, A. (2014). An empirical study of semantic similarity in WordNet and Word2Vec.
[7] Hatzivassiloglou, V., & McKeown, K. R. (1997). Predicting the semantic orientation of adjectives. Paper presented at the Proceedings of the 35th annual meeting of the association for computational linguistics and eighth conference of the european chapter of the association for computational linguistics.
[8] Hu, M., & Liu, B. (2004). Mining and summarizing customer reviews. Paper presented at the Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining.
[9] Kamps, J., Marx, M., Mokken, R. J., & De Rijke, M. (2004). Using WordNet to measure semantic orientations of adjectives. Paper presented at the LREC.
[10] Kiritchenko, S., Zhu, X., & Mohammad, S. M. (2014). Sentiment analysis of short informal texts. Journal of Artificial Intelligence Research, 50, 723-762.
[11] Liu, B., & Zhang, L. (2012). A survey of opinion mining and sentiment analysis. In Mining text data (pp. 415-463): Springer.
[12] Mao, H., Gao, P., Wang, Y., & Bollen, J. (2014). Automatic construction of financial semantic orientation lexicon from large-scale Chinese news corpus. Institut Louis Bachelier, 20 (2), 1-18.
[13] Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
[14] Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. Paper presented at the Advances in neural information processing systems.
[15] Mikolov, T., Yih, W.-t., & Zweig, G. (2013). Linguistic regularities in continuous space word representations. Paper presented at the Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.
[16] Miller, G. A. (1995). WordNet: a lexical database for English. Communications of the ACM, 38(11), 39-41.
[17] Mohammad, S., Dunne, C., & Dorr, B. (2009). Generating high-coverage semantic orientation lexicons from overtly marked words and a thesaurus. Paper presented at the Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2-Volume 2.
[18] Oliveira, N., Cortez, P., & Areal, N. (2016). Stock market sentiment lexicon acquisition using microblogging data and statistical measures. Decision Support Systems, 85, 62-73.
[19] Pedersen, T., Patwardhan, S., & Michelizzi, J. (2004). WordNet:: Similarity: measuring the relatedness of concepts. Paper presented at the Demonstration papers at HLT-NAACL 2004.
[20] Qiu, G., Liu, B., Bu, J., & Chen, C. (2011). Opinion word expansion and target extraction through double propagation. Computational linguistics, 37(1), 9-27.
[21] Rao, D., & Ravichandran, D. (2009). Semi-supervised polarity lexicon induction. Paper presented at the Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics.
[22] Stone, P. J., Dunphy, D. C., & Smith, M. S. (1966). The general inquirer: A computer approach to content analysis.
[23] Tsytsarau, M., & Palpanas, T. (2012). Survey on mining subjective data on the web. Data Mining and Knowledge Discovery, 24(3), 478-514.
[24] Turney, P. D. (2001). Mining the web for synonyms: PMI-IR versus LSA on TOEFL. Paper presented at the European conference on machine learning.
[25] Turney, P. D., & Littman, M. L. (2003). Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems (TOIS), 21(4), 315-346.
[26] Williams, G. K., & Anand, S. S. (2009). Predicting the polarity strength of adjectives using wordnet. Paper presented at the Third International AAAI Conference on Weblogs and Social Media.
[27] Wilson, T., Wiebe, J., & Hoffmann, P. (2005). Recognizing contextual polarity in phrase-level sentiment analysis. Paper presented at the Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing. |
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