Abstract
Sentiment analysis is the area of computational linguistics that investigates a statistical probability of an emotional component in a text or speech. Sentiment analysis is often used in such spheres as social media and tourism. The main task of the analysis is to find the keywords of opinion in the text and to define their properties depending on the task, for example, who owns this opinion, the topic of the opinion and the tone (positive, negative or neutral). As sentiment analysis algorithms for the Belarusian language is undeveloped sphere, the authors have decided to model this mechanism in NooJ as a linguistic processor. The authors have chosen the touristic sphere as it is a highly developing branch of the Belarusian state economy. We are developing sentiment analysis algorithms in the borders of touristic domains texts, based on opinion mining for Belarusian cities. Results of this research are to enlarge resources for the Belarusian NooJ module, enable to study new levels for further research in other domains and can be used for solving different linguistics and sociological tasks.
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References
Hatzivassiloglou, V., McKeown, K.R.: Predicting the semantic orientation of adjectives. In: Proceedings of the 35th Annual Meeting of the ACL and the 8th Conference of the European Chapter of the ACL. Association for Computational Linguistics, Madrid, Spain, pp. 174–181 (1997)
Baker, C.F., Fillmore, C.J., Lowe, J.B.: The Berkeley FrameNet project. In: Proceedings of the Joint Conference on Computational Linguistics and the 36th Annual Meeting of the ACL (COLING-ACL98). Association for Computational Linguistics, Montreal, Canada (1998)
Hatzivassiloglou, V., Wiebe, J.M.: Effects of adjective orientation and gradability on sentence subjectivity. In: Proceedings of 18th International Conference on Computational Linguistics (COLING), pp. 299–305 (2000)
Nasukawa, T., Yi, J.: Sentiment analysis: capturing favorability using natural language processing, pp. 70–77 (2003)
Cambria, E., Dass, D., Bandyopadhyay, S., Feraco, A.: A Practical Guide to Sentiment Analysis, pp. 1–2. Springer, Heidelberg (2017). https://doi.org/10.1007/978-3-319-55394-8
State program on tourism developing in Republic of Belarus (2017). http://www.mst.by/ru/programma-razvitiya-turizma-ru/. Accessed 17 Jan 2017. (Electronic resource)
Bruce, K.B.: 2.1 Foundations of Object-oriented Languages: Types and Semantics, MIT Press, Cambridge, p. 18 (2002)
Silberztein, M.: NooJ manual. www.nooj4nlp.net (2003)
Silberztein, M.: Formalizing Natural Languages: The NooJ Approach. Wiley, London (2016)
Reentovich, I., Hetsevich, Y., Voronovich, V., Kachan, E., Kozlovskaya, H., Tretyak, A., Koshchanka, U.: The first one-million corpus for the Belarusian NooJ module. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds.) NooJ 2015. CCIS, vol. 607, pp. 3–15. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42471-2_1
Borodina, J., Hetsevich, Y.: Using NooJ to process satellite data. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds.) NooJ 2015. CCIS, vol. 607, pp. 182–190. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42471-2_16
Hetsevich, Y., Okrut, T., Lobanov, B.: Grammars for sentence into phrase segmentation: punctuation level. In: Okrut, T., Hetsevich, Y., Silberztein, M., Stanislavenka, H. (eds.) NooJ 2015. CCIS, vol. 607, pp. 74–82. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-42471-2_7
Lysy, S., Stanislavenka, H., Hetsevich, Y.: Addition of IPA transcription to the Belarusian NooJ module. In: Barone, L., Monteleone, M., Silberztein, M. (eds.) NooJ 2016. CCIS, vol. 667, pp. 14–22. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-55002-2_2
Hetsevich, Y., Varanovich, V., Kachan, E., Reentovich, I., Lysy, S.: Semi-automatic part-of-speech annotating for Belarusian dictionaries enrichment in NooJ. In: Barone, L., Monteleone, M., Silberztein, M. (eds.) NooJ 2016. CCIS, vol. 667, pp. 101–111. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-55002-2_9
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Hetsevich, Y., Kryvaltsevich, A., Kazloŭskaja, N., Drahun, A., Zianoŭka, J., Ščarbakoŭ, A. (2018). Sentiment Analysis Algorithms for the Belarusian NooJ Module in Touristic Sphere. In: Mbarki, S., Mourchid, M., Silberztein, M. (eds) Formalizing Natural Languages with NooJ and Its Natural Language Processing Applications. NooJ 2017. Communications in Computer and Information Science, vol 811. Springer, Cham. https://doi.org/10.1007/978-3-319-73420-0_15
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DOI: https://doi.org/10.1007/978-3-319-73420-0_15
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