Classification of Product Categories Based on Onomatopoeia Words in Product Reviews Using Cluster Analysis
نویسندگان
چکیده
منابع مشابه
Mining Interesting Aspects of a Product using Aspect-based Opinion Mining from Product Reviews (RESEARCH NOTE)
As the internet and its applications are growing, E-commerce has become one of its rapid applications. Customers of E-commerce were provided with the opportunity to express their opinion about the product on the web as a text in the form of reviews. In the previous studies, mere founding sentiment from reviews was not helpful to get the exact opinion of the review. In this paper, we have used A...
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With the widespread use of online shopping in recent years, consumer search requests for products have become more diverse. Previous web search methods have used adjectives as input by consumers. However, given that the number of adjectives that can be used to express textures is limited, it is debatable whether adjectives are capable of richly expressing variations of product textures. In Japa...
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While substantial studies have been achieved on sentiment analysis to date, it is still challenging to explore enough contextual information or specific cues for polarity classification of short text like online product reviews. In this work we explore review clustering and opinion paraphrasing to build multiple cluster-based classifiers for polarity classification of Chinese product reviews un...
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Most of the text classification problems are associated with multiple class labels and hence automatic text classification is one of the most challenging and prominent research area. Text classification is the problem of categorizing text documents into different classes. In the multi-label classification scenario, each document is associated may have more than one label. The real challenge in ...
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ژورنال
عنوان ژورنال: Transactions of the Japanese Society for Artificial Intelligence
سال: 2015
ISSN: 1346-0714,1346-8030
DOI: 10.1527/tjsai.30.246