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2014 | OriginalPaper | Chapter

Sentiment Analysis in Complex Adaptive Systems

Authors : Petr Šaloun, Ivan Zelinka, Martin Hruzik

Published in: ISCS 2013: Interdisciplinary Symposium on Complex Systems

Publisher: Springer Berlin Heidelberg

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Abstract

The aim of this work is to present a new algorithm for the evaluation of sentiment in Czech language texts. The algorithm is based on a new dictionary and uses n-gram searching. For the creation of the dictionary, it was important to use language specific phrases and exceptions, which can completely change the final evaluation of a sentiment. The solution also includes automatic search for a new subjects (aspects) of evaluation and also searching for new words determining sentiment. A similar algorithm can also be applied to other languages. The work emphasizes the transformation of the acquired data into valuable information. Our experiment is realized in the experimental adaptive web system in e-learning content domain and in eShop domain. The success and benefits of the algorithm are also discussed in this text.

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Footnotes
2
http://​arg.​vsb.​cz/​XAPOS/​, authors: Zdenek Velart, Petr Šaloun.
 
Literature
1.
go back to reference Feldman, R.: Techniques and applications for sentiment analysis. Commun. ACM 56(4), 82–89 (2013)CrossRef Feldman, R.: Techniques and applications for sentiment analysis. Commun. ACM 56(4), 82–89 (2013)CrossRef
2.
go back to reference Krištofic, A., Bieliková, M.: Improving adaptation in web-based educational hypermedia by means of knowledge discovery. In: Proceedings of HT 2005 Sixteenth ACM Conference on Hypertext and Hypermedia, pp. 184–192. ACM Press. Sept. 2005 Krištofic, A., Bieliková, M.: Improving adaptation in web-based educational hypermedia by means of knowledge discovery. In: Proceedings of HT 2005 Sixteenth ACM Conference on Hypertext and Hypermedia, pp. 184–192. ACM Press. Sept. 2005
3.
go back to reference O’Reilly, T., Battelle, J.: Web 2.0 Five Years On, WEB2.0 SUMMIT—Special Report, pp. 15. O’Reilly Media Inc, (2009) O’Reilly, T., Battelle, J.: Web 2.0 Five Years On, WEB2.0 SUMMIT—Special Report, pp. 15. O’Reilly Media Inc, (2009)
4.
go back to reference Liu, B.: Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers, San Rafael (2012) Liu, B.: Sentiment analysis and opinion mining. Synthesis Lectures on Human Language Technologies. Morgan & Claypool Publishers, San Rafael (2012)
5.
go back to reference Neviarouskaya, A., Prendinger, H., Ishizuka, M.: Semantically distinct verb classes involved in sentiment analysis. IADIS Int. Conf. Appl. Comput. 2009, 27–34 (2009) Neviarouskaya, A., Prendinger, H., Ishizuka, M.: Semantically distinct verb classes involved in sentiment analysis. IADIS Int. Conf. Appl. Comput. 2009, 27–34 (2009)
6.
go back to reference Indurkhya, N., Damerau, F.J.: Handbook of Natural Language Processing, Second Edition, p. 704 (2010) Indurkhya, N., Damerau, F.J.: Handbook of Natural Language Processing, Second Edition, p. 704 (2010)
7.
go back to reference Cervenec, R., Burget, R.: Identifying expression of emotions in Czech text using semantic relations for dimension reduction. Elektrorevue 2(3), 16–21 (2011) Cervenec, R., Burget, R.: Identifying expression of emotions in Czech text using semantic relations for dimension reduction. Elektrorevue 2(3), 16–21 (2011)
8.
go back to reference Pang, B., Lee, L.: A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the Association for Computational Linguistics (2004). Pang, B., Lee, L.: A sentimental education: sentiment analysis using subjectivity summarization based on minimum cuts. In: Proceedings of the Association for Computational Linguistics (2004).
9.
go back to reference Mullen, T., Collier, N.: Sentiment analysis using support vector machines with diverse information. National Institute of Informatics, Tokyo (2004) Mullen, T., Collier, N.: Sentiment analysis using support vector machines with diverse information. National Institute of Informatics, Tokyo (2004)
10.
go back to reference Prabowo, R., Thelwall, M.: Sentiment Analysis—A Combined Approach. School of Computing and Information Technology, pp. 21. University of Wolverhampton (2009) Prabowo, R., Thelwall, M.: Sentiment Analysis—A Combined Approach. School of Computing and Information Technology, pp. 21. University of Wolverhampton (2009)
11.
go back to reference Sanda, P.: Determination of Basic form of Words, p. 68. Brno University of Technology (2011) Sanda, P.: Determination of Basic form of Words, p. 68. Brno University of Technology (2011)
12.
go back to reference Hartmann, T., Klenk, S., Burkovski, A., Heidemann, G.: Sentiment Detection with Character n-Grams, p. 5. University of Stuttgart (2008) Hartmann, T., Klenk, S., Burkovski, A., Heidemann, G.: Sentiment Detection with Character n-Grams, p. 5. University of Stuttgart (2008)
13.
go back to reference Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Assoc. Comput. Linguist. 37(2), 267–308 (2011)CrossRef Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-based methods for sentiment analysis. Assoc. Comput. Linguist. 37(2), 267–308 (2011)CrossRef
14.
go back to reference Fellbaum, C.: Wordnet: An Electronic Lexical Database, p. 423. MIT Press, Cambridge (1998) Fellbaum, C.: Wordnet: An Electronic Lexical Database, p. 423. MIT Press, Cambridge (1998)
15.
go back to reference Kamps, J., Marx, M., Mokken, R.J., de Rijke, M.: Using WordNet to measure semantic orientation of adjectives, Language and Inference Technology Group ILLC, p. 4. University of Amsterdam (2004) Kamps, J., Marx, M., Mokken, R.J., de Rijke, M.: Using WordNet to measure semantic orientation of adjectives, Language and Inference Technology Group ILLC, p. 4. University of Amsterdam (2004)
16.
go back to reference Shanahan, J.G., Qu, Y., Wiebe, J.: Computing Attitude and Affect in Text: Theory and Applications (2006) Shanahan, J.G., Qu, Y., Wiebe, J.: Computing Attitude and Affect in Text: Theory and Applications (2006)
17.
go back to reference Wu, Y., Zhang, Q., Huang, X., WuPhrase, L.: Dependency parsing for opinion mining. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp. 1533–1541 (2009) Wu, Y., Zhang, Q., Huang, X., WuPhrase, L.: Dependency parsing for opinion mining. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, pp. 1533–1541 (2009)
18.
go back to reference Šaloun, P., Velart, Z., Nekula, J.: Towards automated navigation over multilingual content. Studies in Computational Intelligence, vol. 418, pp. 203–229. Springer, Heidelberg (2013) Šaloun, P., Velart, Z., Nekula, J.: Towards automated navigation over multilingual content. Studies in Computational Intelligence, vol. 418, pp. 203–229. Springer, Heidelberg (2013)
19.
go back to reference Van Rijsbergen, C.J.: Information Retrieval (2nd ed.), p. 147. Butterworth-Heinemann, Newton (1979) Van Rijsbergen, C.J.: Information Retrieval (2nd ed.), p. 147. Butterworth-Heinemann, Newton (1979)
Metadata
Title
Sentiment Analysis in Complex Adaptive Systems
Authors
Petr Šaloun
Ivan Zelinka
Martin Hruzik
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-45438-7_30

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