Abstract
Polarity lexicons are lists of words (or meanings) where each entry is labelled as positive, negative or neutral. These lists are not available for different languages and specific domains. This work proposes and evaluates a new algorithm to classify words as positive, negative or neutral, relying on a small seed set of words, a common dictionary and a propagation algorithm. We evaluate the positive and negative polarity propagation of words, as well as the neutral polarity. The propagation is evaluated with different settings and lexical resources.
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References
Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In: P. of the 7th Conf. on Lang. Resources and Evaluation (LREC 2010), Valletta, MT, vol. 25, pp. 2200–2204 (2010)
Blair-Goldensohn, S., Hannan, K., Mcdonald, R., Neylon, T., Reis, G.A., Reynar, J.: Building a Sentiment Summarizer for Local Service Reviews. Electrical Engineering (2008)
Ding, X., Liu, B., Yu, P.: A holistic lexicon-based approach to opinion mining. In: Proceedings of the International Conference on Web Search and Web Data Mining, pp. 231–240. ACM (2008)
Gonçalo Oliveira, H., Antón Pérez, L., Costa, H., Gomes, P.: Uma rede léxico-semântica de grandes dimensões para o português, extraída a partir de dicionários electrónicos. Linguamática 3(2), 23–38 (2011)
Gonçalo Oliveira, H., Gomes, P.: Onto.PT: Automatic Construction of a Lexical Ontology for Portuguese. In: Proceedings of 5th European Starting AI Researcher Symposium (STAIRS 2010), pp. 199–211. IOS Press (2010)
Gonçalo Oliveira, H., Santos, D., Gomes, P.: Extracção de relações semânticas entre palavras a partir de um dicionário: o PAPEL e a sua avaliação. Linguamática 2(1), 77–93 (2010)
Jijkoun, V., Hofmann, K.: Generating a Non-English Subjectivity Lexicon: Relations That Matter. Computational Linguistics, 398–405 (2009)
Maks, I., Vossen, P.: Different Approaches to Automatic Polarity Annotation at Synset Level. In: Proceedings of the First International Workshop on Lexical Resources, WoLeR 2011, pp. 62–69 (2011)
Marques, N.C., Pereira Lopes, G.: Tagging with Small Training Corpora. In: Hoffmann, F., Adams, N., Fisher, D., Guimarães, G., Hand, D.J. (eds.) IDA 2001. LNCS, vol. 2189, pp. 63–72. Springer, Heidelberg (2001)
Rao, D., Ravichandran, D.: Semi-supervised polarity lexicon induction. In: Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics on EACL 2009, pp. 675–682 (2009)
Paulo-Santos, A., Ramos, C., Marques, N.C.: Determining the Polarity of Words through a Common Online Dictionary. In: Antunes, L., Pinto, H.S. (eds.) EPIA 2011. LNCS, vol. 7026, pp. 649–663. Springer, Heidelberg (2011)
Silva, M.J., Carvalho, P., Costa, C., Sarmento, L.: Automatic Expansion of a Social Judgment Lexicon for Sentiment Analysis. Technical Report. TR 10-08. University of Lisbon, Faculty of Sciences, LASIGE (2010)
Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Computational Linguistics, 1–41 (2011)
Viera, A.J., Garrett, J.M.: Understanding interobserver agreement: the kappa statistic. Family Medicine 37(5), 360–363 (2005)
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Santos, A.P., Oliveira, H.G., Ramos, C., Marques, N.C. (2012). A Bootstrapping Algorithm for Learning the Polarity of Words. In: Caseli, H., Villavicencio, A., Teixeira, A., Perdigão, F. (eds) Computational Processing of the Portuguese Language. PROPOR 2012. Lecture Notes in Computer Science(), vol 7243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28885-2_26
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DOI: https://doi.org/10.1007/978-3-642-28885-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28884-5
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