Asia pacific journal of information systems

The Korea Society of Management Information Systems (한국경영정보학회)
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Multidimensional Analysis of Consumers' Opinions from Online Product Reviews

  • Taewook Kim (Philosophy & Computer Science, Hong Kong University of Science and Technology) ;
  • Dong Sung Kim (Business Administration at the School of Business, Hanyang University) ;
  • Donghyun Kim (LG Electronics Company) ;
  • Jong Woo Kim (School of Business, Hanyang University)
  • Received : 2019.04.30
  • Accepted : 2019.09.25
  • Published : 2019.12.31
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Abstract

Online product reviews are a vital source for companies in that they contain consumers' opinions of products. The earlier methods of opinion mining, which involve drawing semantic information from text, have been mostly applied in one dimension. This is not sufficient in itself to elicit reviewers' comprehensive views on products. In this paper, we propose a novel approach in opinion mining by projecting online consumers' reviews in a multidimensional framework to improve review interpretation of products. First of all, we set up a new framework consisting of six dimensions based on a marketing management theory. To calculate the distances of review sentences and each dimension, we embed words in reviews utilizing Google's pre-trained word2vector model. We classified each sentence of the reviews into the respective dimensions of our new framework. After the classification, we measured the sentiment degrees for each sentence. The results were plotted using a radar graph in which the axes are the dimensions of the framework. We tested the strategy on Amazon product reviews of the iPhone and Galaxy smartphone series with a total of around 21,000 sentences. The results showed that the radar graphs visually reflected several issues associated with the products. The proposed method is not for specific product categories. It can be generally applied for opinion mining on reviews of any product category.

Keywords

Acknowledgement

This work was supported by an Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korean government (MSIT) [2016-0-00562(R0124-16-0002), Emotional Intelligence Technology to Infer Human Emotion and Carry on Dialogue Accordingly].

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