Abstract
Sentiment analysis is a relatively new engineering problem in the domain of Natural Language Processing. Its crucial tool are sentiment polarities assigned to synsets (synonym sets) corresponding to abstract meanings existing the natural language. Synsets, together with their lexico-semantic relations are the essential components of every WordNet. The main idea of a new approach to sentiment assignment in WordNet based on relational propagation is presented in the paper.
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References
Esuli, A., Sebastiani, F.: SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining. In: Proceedings of the 5th Conference on Language Resources and Evaluation, LREC 2006 (2006)
Pang, B., Lee, L.: Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval 2(1-2), 1–135 (2008)
Christiane, F.: What is WordNet? Retrieved from Princeton WordNet® (2005), http://wordnet.princeton.edu/
Turney, P.D., Littman, M.L.: Measuring praise and criticism: Inference of semantic orientation from association. ACM Transactions on Information Systems 21(4), 315–346 (2003)
Baccianella, S., Esuli, A., Sebastiani, F.: SENTIWORDNET 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining. In: Proceedings of the International Conference on Language Resources and Evaluation, LREC (2010)
Kajdanowicz, T., Kazienko, P., Janczak, M.: Collective Classification Techniques: an Experimental Study. In: Pechenizkiy, M., Wojciechowski, M. (eds.) New Trends in Databases & Inform. Sys. AISC, vol. 185, pp. 99–108. Springer, Heidelberg (2012)
Chamlertwat, W., Bhattarakosol, P., Rungkasiri, T., Haruechaiyasak, C.: Discovering Consumer Insight from Twitter via Sentiment Analysis. Journal of Universal Computer Science 18(8), 973–992 (2012)
Piasecki, M., Maziarz, M., Szpakowicz, S.: Approaching plWordNet 2.0. In: Proceedings of the 6th Global Wordnet Conference, GWC 2012 (2012)
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Misiaszek, A., Kajdanowicz, T., Kazienko, P., Piasecki, M. (2013). Relational Propagation of Word Sentiment in WordNet. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2013. Lecture Notes in Computer Science, vol 8091. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40840-3_20
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DOI: https://doi.org/10.1007/978-3-642-40840-3_20
Publisher Name: Springer, Berlin, Heidelberg
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