Clause-level Analysis High-value Reviews based on Sentiment
Today, huge numbers of reviews are posted on the internet. Online shoppers often refer to reviews written about the products. A review has a star rating that represents what other people think about the product. However, the star rating is not always appropriate for evaluating the product. High-valu...
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| Published in | Journal of data intelligence Vol. 1; no. 4; pp. 468 - 488 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English Japanese |
| Published |
01.12.2020
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| Online Access | Get full text |
| ISSN | 2577-610X 2577-610X |
| DOI | 10.26421/JDI1.4-4 |
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| Summary: | Today, huge numbers of reviews are posted on the internet. Online shoppers often refer to reviews written about the products. A review has a star rating that represents what other people think about the product. However, the star rating is not always appropriate for evaluating the product. High-value reviews that affect the users' willingness to buy are independent of the number of stars in ratings. High-value reviews are those from which people find useful information those regarded as good reviews. As described in this paper, we investigated the relation between high-value reviews and the sentiment (positive/negative/neutral) of their clauses based on four hypotheses. We extract characteristics of high-value reviews based on our results. Furthermore, we propose a classification method that classifies clause level sentiment from reviews. |
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| ISSN: | 2577-610X 2577-610X |
| DOI: | 10.26421/JDI1.4-4 |