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Multimedia and Internet Systems: Theory and Practice pp 261–270Cite as

Domain Dependent Product Feature and Opinion Extraction Based on E-Commerce Websites

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 183))

Abstract

The rapid growth of the Internet and social web communities has changed on-line merchandising. Opinions expressed on websites by the customers became useful information for new customers and product manufacturers. Opinion mining techniques started to be attractive as a method for processing user generated content with sentiment payload. Presented approach uses product reviews from e-commerce websites for the product feature opinion mining task. Manual data annotation process is avoided by fully automated building training data corpus. As a classifier CRF model is employed. Proof of concept on Polish e-commerce website was performed. Experiment has shown promising results.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, Warsaw University of Technology, Nowowiejska 15/19, Warsaw, Poland

    Bartomiej Twardowski & Piotr Gawrysiak

Authors
  1. Bartomiej Twardowski
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  2. Piotr Gawrysiak
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Corresponding author

Correspondence to Bartomiej Twardowski .

Editor information

Editors and Affiliations

  1. Institute of Informatics, Division of Information Systems, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, Wroclaw, 50-370, Poland

    Aleksander Zgrzywa

  2. Institute of Informatics, Division of Information Systems, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, Wrocław, 50-370, Poland

    Kazimierz Choroś

  3. Institute of Informatics, Division of Information Systems, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, Wrocław, 50-370, Poland

    Andrzej Siemiński

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Twardowski, B., Gawrysiak, P. (2013). Domain Dependent Product Feature and Opinion Extraction Based on E-Commerce Websites. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Internet Systems: Theory and Practice. Advances in Intelligent Systems and Computing, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32335-5_25

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  • DOI: https://doi.org/10.1007/978-3-642-32335-5_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32334-8

  • Online ISBN: 978-3-642-32335-5

  • eBook Packages: EngineeringEngineering (R0)

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