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Recent Developments and the New Direction in Soft-Computing Foundations and Applications pp 63–70Cite as

Adaptive Neuro-Fuzzy Inference System for Classification of Texts

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 361))

Abstract

In this work, we applied Adaptive Neuro-Fuzzy Inference System to three different classification problems: (1) sentence-level subjectivity detection, (2) sentiment analysis of texts, and (3) detecting user intention in natural language call routing system. We used English dataset for the first and second problems, but Azerbaijani dataset for the third problem based on same features. Our feature extraction algorithm calculates a feature vector based on the statistical occurrences of words in a corpus without any lexical knowledge.

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Acknowledgements

This work was supported by 5th Mobility Grant of the Science Development Foundation under the President of the Republic of Azerbaijan.

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Authors and Affiliations

  1. Institute of Control Systems, Baku, Azerbaijan

    Aida-zade Kamil & Elshan Mustafayev

  2. Institute of Control Systems, ADA University, Baku, Azerbaijan

    Samir Rustamov

  3. Georgia Institute of Technology, Atlanta, GA, USA

    Mark A. Clements

Authors
  1. Aida-zade Kamil
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  2. Samir Rustamov
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  3. Mark A. Clements
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  4. Elshan Mustafayev
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Corresponding author

Correspondence to Aida-zade Kamil .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Machine Intelligence Institute, Iona College, New Rochelle, New York, USA

    Ronald R. Yager

  3. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  4. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

  5. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

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Kamil, Az., Rustamov, S., Clements, M.A., Mustafayev, E. (2018). Adaptive Neuro-Fuzzy Inference System for Classification of Texts. In: Zadeh, L., Yager, R., Shahbazova, S., Reformat, M., Kreinovich, V. (eds) Recent Developments and the New Direction in Soft-Computing Foundations and Applications. Studies in Fuzziness and Soft Computing, vol 361. Springer, Cham. https://doi.org/10.1007/978-3-319-75408-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-75408-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-75407-9

  • Online ISBN: 978-3-319-75408-6

  • eBook Packages: EngineeringEngineering (R0)

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