Developing an Adaptive Chinese Near-Synonym Corpus for Word of Mouth Classification

碩士 === 中原大學 === 資訊管理研究所 === 105 === The majority of word-of-mouth (WOM) articles are classified using the bag-of-words model. The bag-of-words vector space model bears the disadvantage of producing high-dimensional data noise. The research compared characters, context, and homophones, and integrated...

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Bibliographic Details
Main Authors: Jheng-Hua Huang, 黃政華
Other Authors: Chihli Hung
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/cgi-bin/gs32/gsweb.cgi/login?o=dnclcdr&s=id=%22105CYCU5396034%22.&searchmode=basic