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A Framework for Feature Extraction and Ranking for Opinion Making from Online Reviews

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Intelligent Computing (SAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 858))

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Abstract

Opinion mining and its applications in product recommendation, business intelligence, targeted marketing etc. has got a lot of research attention to the area of data mining. Many researches have been conducted for improving opinion mining and various frameworks have been proposed. Still the improvement is in progress and more efficient and improved frameworks are being proposed. For opinion analysis from reviews, classifying them as positive and negative and then making future decisions about the product is very important and fascinating aspect of text mining. Many techniques fail to provide the coverage to the features of the product and are not very progressive in accurately classifying and ranking the reviews. In this paper, we have proposed a framework for opinion mining to process public reviews in Facebook comments. The features are ranked and clustered according to the similarity between them. Many methodologies fail at the point of finding which features are relatively similar and can be easily grouped together. This framework also retrieves reviews and summarizes them in a most efficient way providing coverage to the features.

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Authors and Affiliations

  1. Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

    Madeha Arif & Usman Qamar

Authors
  1. Madeha Arif
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  2. Usman Qamar
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Corresponding author

Correspondence to Madeha Arif .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Department of Information Science, Saga University, Honjo, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

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Arif, M., Qamar, U. (2019). A Framework for Feature Extraction and Ranking for Opinion Making from Online Reviews. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 858. Springer, Cham. https://doi.org/10.1007/978-3-030-01174-1_27

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