2016
DOI: 10.1016/j.pisc.2016.06.079
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Feature extraction and analysis of online reviews for the recommendation of books using opinion mining technique

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Cited by 45 publications
(24 citation statements)
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“…Of course, the effectiveness of online word of mouth was most widely used in the field of online shopping. Many domestic and foreign scholars have confirmed the impact of online word of mouth to volume of online sales by analyzing samples of Amazon and other e-commerce platforms (Mudambi & Schuff, 2010;Sohail & Siddiqui, 2016;Vinodhini & Chandrasekaran, 2016). Most researches were static samples which based on observation of a time point, lack of an observation on period of time.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Of course, the effectiveness of online word of mouth was most widely used in the field of online shopping. Many domestic and foreign scholars have confirmed the impact of online word of mouth to volume of online sales by analyzing samples of Amazon and other e-commerce platforms (Mudambi & Schuff, 2010;Sohail & Siddiqui, 2016;Vinodhini & Chandrasekaran, 2016). Most researches were static samples which based on observation of a time point, lack of an observation on period of time.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They are more reliable than information provided by sellers because they offer personalized advice as well as ratings of products or services [31]. Many studies have analyzed the relationship between online reviews and product sales for well-known websites such as eBay [32], Amazon [33][34][35], and Airbnb [36,37] and various product categories such as books [33][34][35]38], movies [39][40][41], fashion [42], cosmetics [43], hotels [44][45][46][47], washing machines [48], online lectures [49], restaurants [50,51], and airlines [52].…”
Section: Consumer Car Purchasing Behaviormentioning
confidence: 99%
“…According to the report by Chinese Internet Center, customers participated in cross-border shopping were generally women under the age of 35, which confirmed the previous conclusions that women concerned for the price more, consistent with the H9b hypothesis. On reputation priority strategy, we have chosen 4 variables to do research according to the influence of online word-of-mouth to sales volume of import retail e-commerce supplier [19,25,30,31] . H5 has been verified in three models, showing that online word-of mouth was the most useful learning resource to customers when we purchasing goods online.…”
Section: Research Conclusionmentioning
confidence: 99%