Product Review Data and Sentiment Analytical Processing Modeling | Zendy

Jongheum Yeon | Zendy; Dongjoo Lee | Zendy; Junho Shim | Zendy; Sanggoo Lee | Zendy

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Product Review Data and Sentiment Analytical Processing Modeling

Author(s) -

Jongheum Yeon,

Dongjoo Lee,

Junho Shim,

Sanggoo Lee

Publication year - 2011

Publication title -

the journal of society for e-business studies

Language(s) - English

Resource type - Journals

ISSN - 1226-3931

DOI - 10.7838/jsebs.2011.16.4.125

Subject(s) - sentiment analysis , product (mathematics) , computer science , process (computing) , focus (optics) , data science , feature (linguistics) , information retrieval , world wide web , artificial intelligence , geometry , mathematics , linguistics , philosophy , physics , optics , operating system

, . , . (opinion mining) (sentiment analysis) , , . , , , . , , . , . .ABSTRACTProduct reviews in online shopping sites can serve as a useful guideline to buying decisions of customers. However, due to the massive amount of such reviews, it is almost impossible for users to read all the product reviews. For this reason, e-commerce sites provide users with useful reviews or statistics of ratings on products that are manually chosen or calculated. Opinion mining or sentiment analysis is a study on automating above process that involves firstly analyzing users’ reviews on a product to tell if a review contains positive or negative feedback, and secondly, providing a summarized report of users’

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