Hai Yang Zhu1,∗,†, Xiaobo Yin1,∗,‡, Shunxiang Zhang1,∗,§, Zhongliang Wei1,¶, Guangli Zhu1,II, Meng-Yen Hsieh2,*,**
Computer Systems Science and Engineering, Vol.35, No.6, pp. 399-410, 2020, DOI:10.32604/csse.2020.35.399
Abstract A large number of new words in product reviews generated by mobile terminals are valuable indicators of the privacy preferences of customers. By clustering
these privacy preferences, sufficient information can be collected to characterize users and provide a data basis for the research issues of privacy protection.
The widespread use of mobile clients shortens the string length of the comment corpus generated by product reviews, resulting in a high repetition rate.
Therefore, the effective and accurate recognition of new words is a problem that requires an urgent solution. Hence, in this paper, we propose a… More >
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