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Methodology for Text Classification using Manually Created Corpora-based Sentiment Dictionary

Abstrakt

This paper presents the methodology of Textual Content Classification, which is based on a combination of algorithms: preliminary formation of a contextual framework for the texts in particular problem area; manual creation of the Hierarchical Sentiment Dictionary (HSD) on the basis of a topically-oriented Corpus; tonality texts recognition via using HSD for analysing the documents as a collection of topically completed fragments (paragraphs). For verification of the proposed methodology, a case study of Polish-language film reviews Corpora was used. The main scientific contributions of this research are: writing style of the analyzed text determines the possibility of adaptation of the Texts Classification algorithms; Hierarchically-oriented Structure of the HSD allows customizing the classification process to qualitative recognition of text tonality in the context of individual paragraphs topics; texts of Persuasive style most often are initially empowered by authors with a certain tonality. The tone, expressed in the author's opinion, effects the qualitative indicators of sentiment recognition. Negative emotions of the author usually reduce the level of vocabulary variability as well as the variety of topics raised in the document but simultaneously increase the level of unpredictability of words contextually used with both positive and negative emotional coloring

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Licencja

Copyright (2018 by SCITEPRESS – Science and Technology Publications, Lda)

Informacje szczegółowe

Kategoria:
Aktywność konferencyjna
Typ:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Język:
angielski
Rok wydania:
2018
Opis bibliograficzny:
Rizun N., Waloszek W.: Methodology for Text Classification using Manually Created Corpora-based Sentiment Dictionary// Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management/ 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management : , 2018, s.1-9
DOI:
Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.5220/0006932602120220
Bibliografia: test
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  14. Rizun N., Taranenko Y., Waloszek W., 2017a. The Algorithm of Modelling and Analysis of Latent Semantic Relations: Linear Algebra vs. Probabilistic Topic Models. Knowledge Engineering and Semantic Web. 8th International Conference, KESW 2017, pp.53-68. otwiera się w nowej karcie
  15. Rizun N., Taranenko Y. Methodology of Constructing and Analyzing the Hierarchical Contextually-Oriented Corpora. Proceeding of Federated Conference on Computer Science and Information Systems - FedCSIS 2018. otwiera się w nowej karcie
  16. Rizun N., Taranenko Y., Waloszek W., 2017b. The Algorithm of Building the Hierarchical Contextual Framework of Textual Corpora. Eighth IEEE International Conference on Intelligent Computing and Information System, ICICIS 2017, Cairo, Egypt, pp.366-372.. otwiera się w nowej karcie
  17. Rizun, N., Taranenko, Y., 2017. Development of the Algorithm of Polish Language Film Reviews Preprocessing. Research Yearbook Faculty of Management in Ciechanów WSM, 1-4 (IX), pp. 168- 188. otwiera się w nowej karcie
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Weryfikacja:
Politechnika Gdańska

wyświetlono 44 razy

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