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Sentiment Analysis of Movie Reviews Written in Macedonian Language

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 311))

Abstract

Identifying sentiments is a natural language processing prob-lem that became popular lately with the advent of various forums and social networks on the Internet. In this paper the analysis will focus on opinions that can evoke either positive or negative feelings in people. Most of the existing researches on textual information processing focus on data mining and fact analysis such as information retrieval, web search, text classification, clustering and many other types of natural language processing, unlike opinion analysis, especially for texts written in Macedonian.

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References

  1. Anguita, D., Ghelardoni, L., Ghio, A., Oneto, L., Ridella, S.: The “K” in K-fold Cross Validation. In: ESANN (2012)

    Google Scholar 

  2. Çelikkaya, G., Torunoğlu, D., Eryiğit, G.: Named Entity Recognition on Real Data: A Preliminary Investigation for Turkish. In: Proceedings of the 7th International Conference on Application of Information and Communication Technologies, AICT 2013. IEEE, Baku (2013)

    Google Scholar 

  3. Davis, J., Goadrich, M.: The relationship between Precision-Recall and ROC curves. In: ICML, pp. 233–240 (2006)

    Google Scholar 

  4. Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., Witten, I.H.: The WEKA data mining software: an update. SIGKDD Explorations 11(1), 10–18 (2009)

    Article  Google Scholar 

  5. Liang, A.: Rotten Tomatoes: Sentiment Classification in Movie Reviews. CS 229 (15 2006)

    Google Scholar 

  6. Liu, B.: Sentiment analysis and subjectivity. In: Handbook of Natural Language Processing, 2nd edn. Taylor and Francis Group, Boca (2010)

    Google Scholar 

  7. Montejo-Ráez, A., Martìnez-Cámara, E., Martìn-Valdivia, T.M., Ureña-López, A.L.: Random Walk Weighting over SentiWordNet for Sentiment Polarity Detection on Twitter. In: Proceedings of the 3rd Workshop in Computational Approaches to Subjectivity and Sentiment Analysis, pp. 3–10. Association for Computational Linguistics (2012)

    Google Scholar 

  8. Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval 2(1-2), 1–135 (2007)

    Google Scholar 

  9. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? Sentiment Classification using Machine Learning Techniques. CoRR cs.CL/0205070 (2002)

    Google Scholar 

  10. Smirnov, I.: Overview of Stemming Algorithms. Mechanical Translation (December 2008)

    Google Scholar 

  11. Turney, P.D.: Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews. In: ACL, pp. 417–424 (2002)

    Google Scholar 

  12. Wilson, T., Hoffmann, P., Somasundaran, S., Kessler, J., Wiebe, J., Choi, Y., Cardie, C., Riloff, E., Patwardhan, S.: OpinionFinder: A System for Subjectivity Analysis. In: HLT/EMNLP (2005)

    Google Scholar 

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Correspondence to Vasilija Uzunova .

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© 2015 Springer International Publishing Switzerland

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Uzunova, V., Kulakov, A. (2015). Sentiment Analysis of Movie Reviews Written in Macedonian Language. In: Bogdanova, A., Gjorgjevikj, D. (eds) ICT Innovations 2014. ICT Innovations 2014. Advances in Intelligent Systems and Computing, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-319-09879-1_28

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  • DOI: https://doi.org/10.1007/978-3-319-09879-1_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09878-4

  • Online ISBN: 978-3-319-09879-1

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