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Ontology Based Comparative Sentence and Relation Mining for Sentiment Classification

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Genetic and Evolutionary Computing (GEC 2015)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 388))

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  • International Conference on Genetic and Evolutionary Computing

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Abstract

Due to the rapid expansion of the internet, business through e-commerce has become popular. Many products are being sold on the internet and the merchants selling the products ask their customers to write reviews about the products that they have purchased. Opinion mining and sentiment classification are not only technically challenging because of the need for natural language processing, but also very useful in practice. In this study, ontology based compararive sentence and relation mining for sentiment classification in mobile phone (product) reviews are studied. POS taggers are used to tag sentiment words in the input sentences. In this study, Naive Bayes classifier is also used for sentiment classification. Moreover, the comparison between with ontology and without ontology are aiso described. This study is very useful for manufacturers and customers in E-commerce Sites, Review Sites, Blog etc.

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Author information

Authors and Affiliations

  1. University of Computer Studies, Mandalay, Myanmar

    Myat Su Wai, May Aye Chan Aung & Than Nwe Aung

Authors
  1. Myat Su Wai
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  2. May Aye Chan Aung
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  3. Than Nwe Aung
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Corresponding author

Correspondence to Myat Su Wai .

Editor information

Editors and Affiliations

  1. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Thi Thi Zin

  2. School of Computer Science and Tech..., Harbin Institute of Technology, Shenzhen Graduate School , Shenzhen, China

    Jerry Chun-Wei Lin

  3. College of Information Science and Engg, Fujian University of Technology, Fuzhou, China

    Jeng-Shyang Pan

  4. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Pyke Tin

  5. Faculty of Engineering, University of Miyazaki, Miyazaki, Japan

    Mitsuhiro Yokota

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© 2016 Springer International Publishing Switzerland

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Wai, M.S., Aung, M.A.C., Aung, T.N. (2016). Ontology Based Comparative Sentence and Relation Mining for Sentiment Classification. In: Zin, T., Lin, JW., Pan, JS., Tin, P., Yokota, M. (eds) Genetic and Evolutionary Computing. GEC 2015. Advances in Intelligent Systems and Computing, vol 388. Springer, Cham. https://doi.org/10.1007/978-3-319-23207-2_45

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  • DOI: https://doi.org/10.1007/978-3-319-23207-2_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23206-5

  • Online ISBN: 978-3-319-23207-2

  • eBook Packages: EngineeringEngineering (R0)

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