A Semi-supervised Approach for Opinion Mining using Online Product Review

  • Authors

    • Bhagyashree G. Bhongade
    • Ashwini V.Z
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.20031
  • Online product reviews, Opinion Mining, Opinion target, Opinion words, Semi supervised model.

  • Abstract

    The growth of the internet as a secure online shopping channel has developed since 1994. With the Increasing number of e-commerce portal, we are now heavily inclined to online shopping. One of the benefits of online shopping is the ability to read reviews about the product purchased. This paper presents a semi-supervised approach for opinion mining using online product reviews obtained from   Amazon website. A semi-supervised model regards identifying opinion relation as an alignment process and gives more precision in comparison to unsupervised model. Opinion mining of online reviews is needed for first-hand assessments of product information and direct supervision of their purchase actions. Manufacturers can obtain immediate feedback and opportunities to improve the quality of their products in a timely fashion.

     

     

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  • How to Cite

    G. Bhongade, B., & V.Z, A. (2018). A Semi-supervised Approach for Opinion Mining using Online Product Review. International Journal of Engineering & Technology, 7(4.5), 143-146. https://doi.org/10.14419/ijet.v7i4.5.20031

    Received date: 2018-09-22

    Accepted date: 2018-09-22

    Published date: 2018-09-22