建立在資訊品質架構上的口碑文章品質分類

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建立在資訊品質架構上的口碑文章品質分類

Quality Classification of Word of Mouth Based on an Information Quality Framework

黃馨儀 , Masters　　Advisor：洪智力　　

繁體中文

支援向量機；資訊品質；口碑分類；層級分析程序法；意見探勘； Information Quality ； Opinion Mining ； Support Vector Machine ； Word of Mouth Classification ； Analytic Hierarchy Process

Abstract │ Reference (46) │ Altmetrics

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WOM (word-of-mouth) has become important reference sources for consumers. They consider others’ experiences and suggestions before making purchase decisions. There are a lot of WOM be written by reviewers on the Internet. These reviewers’ writing styles are without any restrictions. For this reason, lead to difficult for  consumers to find useful and qualitative information. In literature, most WOM mining researches mainly focus on document sentimental classification but ignore the importance of WOM quality. In this research, we classify WOM documents based on the information quality (IQ) framework. In the part of sentiment, we determine polarity of sentimental term with sentimental values of SentiWordNet in order to automatically identify the opinion sentences in a document. Furthermore, different elements of IQ may have different influencing power on quality. Therefore, this research extracts experts’ opinions and evaluates importance degree of IQ elements through the analytic hierarchy process (AHP). Experiment results show that our proposed approach which integrates IQ framework with AHP technique can promote performance on WOM quality classification and also demonstrate that different IQ elements have different importance on information quality.

Reference ( 46 ) 〈TOP〉

 Cao, L.J. and Tay, F.E.H. (2003). Support Vector Machine with Adaptive Parameters in Financial Time Series Forecasting. IEEE Transactions on Neural Networks, Vol. 14, pp.1506-1518.
連結：
 Chevalier, J. A. and Mayzlin, D. (2006). The effect of word of mouth on sales: online book reviews. Journal of Marketing Research, Vol.43, No.3, pp. 345-354.
連結：
 DeLone, W. H., and McLean, E. R. (1992). Information System Success: The Quest for the Dependent Variable. Information System Research, Vol.3, No.1, pp. 60-95.
連結：
 Fellbaum, C. editor (1998). WordNet: An Electronic Lexical Database. MIT Press.
連結：
 Ghose, A. and Ipeirotis, P. G. (2007). Designing Novel Review Ranking Systems: Predicting the Usefulness and Impact of Reviews. Proceedings of the 9th International Conference on Electronic Commerce (ICEC), pp. 303-310.
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