2016年外文翻译—基于推文挖掘的咖啡服务质量和顾客价值的观点探勘

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1、字数：英文字数：英文 18671867 单词，单词，91069106 字符；中文字符；中文 30593059 汉字汉字  作者及出处：作者及出处：Takahashi S, Sugiyama A, Kohda Y. A method for opinion mining Takahashi S, Sugiyama A, Kohda Y. A method for opinion mining of coffee service quality and customer value by mining of coffee service quality and customer valu

2、e by mining twitterM/Knowledge, Information and Creativity Support Systems. twitterM/Knowledge, Information and Creativity Support Systems. Springer, Cham, 2016: 521Springer, Cham, 2016: 521- -528.528.     外文文献外文文献   A Method for Opinion Mining of Coffee Service Quality and  Cust

3、omer Value by Mining Twitter  Abstract In this work, we focus on customer value of Japanese coffee service  by analyzing the huge tweet data set. We suggest the quantitative evaluation method  of customer value by using the morphological analysis of the tweets and generated  valu

4、e dictionary. Our suggested methodology can be applied to any service and  product to improve the commoditization problem from the viewpoint of service  science.  Keywords: Customer value; Natural language; processing Service; value  Opinion mining   1.Introduction  Recently, big data utilization in social network data (e.g. Facebook, Twitter,  Flicker) has attracted much attention from researchers and research divisions of  companies in order to analyze the market with high “objectivity” and high  “completeness”. In this study, we f