2021
DOI: 10.3390/axioms10020106
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Monitoring and Recognizing Enterprise Public Opinion from High-Risk Users Based on User Portrait and Random Forest Algorithm

Abstract: With the rapid development of “We media” technology, netizens can freely express their opinions regarding enterprise products on a network platform. Consequently, online public opinion about enterprises has become a prominent issue. Negative comments posted by some netizens may trigger negative public opinion, which can have a significant impact on an enterprise’s image. From the perspective of helping enterprises deal with negative public opinion, this paper combines user portrait technology and a random fore… Show more

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Cited by 44 publications
(23 citation statements)
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“…The encoderdecoder network structure effectively avoids inefficient learning and sharing in training, and the atrous spatial pyramid pooling significantly enlarges the receptive field while reducing the number of training parameters. These contributions have potential implications for other applications of biological heuristic algorithms, not limited to image processing problem (Tao et al, 2021b), but can even be applied in public opinion dissemination (Chen et al, 2021b;Chen et al, 2021c) and behavior analysis (Xu et al, 2021a;Xiang et al, 2021). Further extended research will provide broader support for future applications in other aspects.…”
Section: Discussionmentioning
confidence: 94%
“…The encoderdecoder network structure effectively avoids inefficient learning and sharing in training, and the atrous spatial pyramid pooling significantly enlarges the receptive field while reducing the number of training parameters. These contributions have potential implications for other applications of biological heuristic algorithms, not limited to image processing problem (Tao et al, 2021b), but can even be applied in public opinion dissemination (Chen et al, 2021b;Chen et al, 2021c) and behavior analysis (Xu et al, 2021a;Xiang et al, 2021). Further extended research will provide broader support for future applications in other aspects.…”
Section: Discussionmentioning
confidence: 94%
“…In the acquisition process, following the principles of authority, rigor, completeness, and accuracy, the authors collected 16 typical policy documents that have important effects on the employment of college graduates from the websites of the Ministry of Human Resources and Social Security, People's Republic of China (PRC), the Ministry of Education, the Central People's Government, and other authority websites, as shown in Table 1. Based on policy text, this paper uses ROST CM [22,23] software to preprocess the policy text, such as word segmentation and keyword frequency statistics, in order to extract the key content from the policy document. The specific process is as follows: first, the policy text is segmented, then the word frequency of the document after word segmentation is ranked, and finally the word segmentation results are sorted according to the word frequency from high to low.…”
Section: Selecting and Analyzing Employment Promotion Policymentioning
confidence: 99%
“…Besides, many literatures find that the power grid system obeys the small-world model and reveal that the influence of a few nodes and lines will cause great harm to the whole situation [29,30], which indicates the severe results that can be met by the power grid topological structure when it comes to some severe attack. Besides, there are many literatures concentrate on studying the algorithms that improve the complex network efficiency in the network theory [31][32][33]. Although these articles have studied systematically the complex network theory applications on the power grid, few of them pay much attention to analyzing the harsh outcomes met by the power grid.…”
Section: Related Workmentioning
confidence: 99%