On-line interactive comment support degree tendency prediction method based on game theory

A prediction method and support technology, applied in the field of information science, can solve problems such as prediction of complex interactive text support evolution

Inactive Publication Date: 2015-03-25
NANJING UNIV OF FINANCE & ECONOMICS
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AI Technical Summary

Problems solved by technology

[0005] Aiming at the fact that traditional support calculation cannot solve the problem of predicting the evolution of support for complex interactive texts, the purpose of the present invention is to provide a method for predicting the propensity of online interactive comments based on game theory. The method first adopts an efficient support The degree calculation framework captures the support tendency contained in online comm

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  • On-line interactive comment support degree tendency prediction method based on game theory
  • On-line interactive comment support degree tendency prediction method based on game theory
  • On-line interactive comment support degree tendency prediction method based on game theory

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Embodiment Construction

[0030] A method for predicting the support tendency of online interactive comments based on game theory. First, the support calculation framework is used to capture the support tendency contained in online comments, and then the support calculation and game theory are combined to define the interaction between the two parties. The utility function, combining three dominant strategy selection rules and using the mixed Nash equilibrium strategy as the prediction result of the interaction behavior, specifically includes the following two stages:

[0031] 1. Support Calculation Framework for Online Interactive Comments

[0032] Given a text set C={c1,c2,...,cm} containing m comments, use the word segmentation tool ICTCLAS to segment all the comment texts in C to obtain a very large vocabulary set (set to N). Considering that most of the words have nothing to do with the expression of support, and their frequency of occurrence is extremely low, therefore, according to the parts of ...

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Abstract

The invention discloses an on-line interactive comment support degree tendency prediction method based on the game theory. According to the method, firstly, a support degree computing framework is adopted to capture the support degree tendency contained in on-line comments; secondly, support degree computation is combined with the game theory, a utility function for both parties in support degree interaction is defined, three dominant strategy selection rules are combined, and the mixed Nash equilibrium strategy is used as a prediction result of an interactive behavior. By means of the method, the prediction result is accurate; the method is applied to online public opinion monitoring, word-of-mouth marketing and information prediction to help to make the most reasonable decision and improve the work efficiency.

Description

technical field [0001] The invention belongs to the field of information science and relates to a method for predicting the support degree of online interactive comments. Specifically, it is a game theory-based method for predicting the propensity of online interactive comments. Background technique [0002] The rapid development of social networks has made more and more people accustomed to participating in public discussion on Weibo, QQ and forums, and posting online comments to express their views and attitudes. As an important branch of machine learning and computer linguistics, support analysis includes support calculation and support evolution analysis. The task of support calculation is to identify the polarity of the support of the subjective text and judge the polarity strength. Support evolution is to analyze the evolution of the support of complex interactive text over time. The support analysis of online comments plays a fundamental role in supporting many app...

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Application Information

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IPC IPC(8): G06F17/27
Inventor 申冬琴刘小惠卜湛曹杰
Owner NANJING UNIV OF FINANCE & ECONOMICS
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