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A Rapid Evaluation Method for Network Public Opinion Based on Neural Network and Analytic Hierarchy Process

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DOI: 10.23977/meimie.2019.43041

Author(s)

Yongmei Ren

Corresponding Author

Yongmei Ren

ABSTRACT

The establishment of an effective network public opinion risk early-warning index system and evaluation method is an important basis for emergency decision-making. The automatic and rapid evaluation of network public opinion can greatly reduce manpower output. In order to establish a suitable evaluation method to measure development level of network public opinion in higher vocational colleges, an integrated algorithm for network public opinion evaluation combining BP neural network with the Analytic Hierarchy Process (AHP) is proposed. Furthermore, the possible ways for optimization are also discussed.

KEYWORDS

Network public opinion, evaluation, analytic hierarchy process, neural networ

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