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Dynamic Multiple-Attribute Decision Making Method Based on UGC Text

DOI: 10.12677/HJDM.2023.131006, PP. 55-66

Keywords: UGC文本,多属性决策,动态决策模型,情感分析,UGC Text, Multi-Attribute Decision Making, Dynamic Decision Model, Sentiment Analysis

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A large number of UGC texts in the network contain users’ real evaluations of products. How to use the comment texts to make decisions or rank products has been paid more attention. This paper proposes a dynamic multi-attribute decision-making method based on UGC. First of all, in the face of unstructured text information that is difficult to be directly understood by the machine, an attribute information extraction method is proposed to extract the product attributes that users care about from the text, then calculate the attribute evaluation value based on the sentiment analysis method, and define the attribute weight combining the attribute frequency and sentiment divergence index. Secondly, considering that the dynamic changes of online review content will lead to different reference values of information in different periods for current decisions, this paper pro-poses a dynamic decision model to distinguish time windows based on the multi-attribute decision-making framework. The division of time windows is based on attribute similarity, and the calculation method of time weight is given in combination with time distance. Finally, the proposed method combined with the VIKOR sorting algorithm is used to solve the tourism destination sorting problem based on travel notes, which shows the feasibility and practicability of the proposed method.


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