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. 2022 Apr 22:13:857769.
doi: 10.3389/fpsyg.2022.857769. eCollection 2022.

Research on the Construction of Emergency Network Public Opinion Emotional Dictionary Based on Emotional Feature Extraction Algorithm

Fang Hui  1
Affiliations

Research on the Construction of Emergency Network Public Opinion Emotional Dictionary Based on Emotional Feature Extraction Algorithm

Fang Hui. Front Psychol. .

Abstract

How to strengthen emergency management and improve the ability to prevent and respond to emergencies is an important part of building a harmonious socialist society. This paper proposes a domain emotion dictionary construction method for network public opinion analysis of public emergencies. Using the advantages of corpus and semantic knowledge base, this paper extracts the seed words based on the large-scale network public opinion corpus and combined with the existing emotion dictionary, trains the word vector through the word2vec model in deep learning, expands the emotion words, and obtains the candidate emotion words according to the semantic similarity calculation, So as to generate a domain emotion dictionary. The accuracy rate of emotion discrimination by the emotion dictionary constructed in this paper is 0.86, the recall rate is 0.92. Through the verification of accuracy and recall rate, the construction method proposed in this paper has good accuracy and reliability. Because of the great differences in different experiences and situations of different groups, there will be great differences in views and perspectives on the same event. The key to prevent the public from blindly following the crowd should be to reach groups close to emotional distance, and targeted prevention and control of public opinion can be conducted according to different characteristics of different groups.

Keywords: algorithm; emergencies; emotional dictionary; emotional feature extraction; internet public opinion.

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Conflict of interest statement

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
The impact of public safety incidents on public psychology and information dissemination mechanism.
Figure 2
Figure 2
Mechanism of public safety emergencies on group psychological stress response.
Figure 3
Figure 3
Action mechanism of public safety emergencies on individual psychology.
Figure 4
Figure 4
This paper puts forward the flow chart of the hypothesis method.
Figure 5
Figure 5
Positive moderating effect of emotional distance.
Figure 6
Figure 6
Negative adjustment effect of sensory distance.
Figure 7
Figure 7
Extraction steps of feature items.
Figure 8
Figure 8
Sentiment analysis of online comments on public opinion events.
See this image and copyright information in PMC

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References

    1. Ahlem D., Khalil H. (2020). An opinion spread prediction model with twitter emotion analysis during Algeria's Hirak. Comput. J. 3. doi: 10.1093/comjnl/bxaa117 - DOI
    1. Belojevic G., Sokolova Djokic L., Gligorova B., Banjari I., Stojanovic M., Stojanovic D. (2018). Body mass index and the literacy on obesity in relation to media following. Iran. J. Public Health 47, 1166–1171. - PMC - PubMed
    1. Cauley C. E., Block S. D., Koritsanszky L. A., Gass J. D., Frydman J. L., Nurudeen S. M., et al. . (2016). Surgeons' perspectives on avoiding nonbeneficial treatments in seriously ill older patients with surgical emergencies: a qualitative study. J. Palliat. Med. 19, 529–537. doi: 10.1089/jpm.2015.0450, PMID: - DOI - PMC - PubMed
    1. Delaunay S., Kahn P., Tatay M., Liu J. (2016). Knowledge sharing during public health emergencies: from global call to effective implementation. Bull. World Health Organ. 94, 236–236A. doi: 10.2471/BLT.16.172650, PMID: - DOI - PMC - PubMed
    1. Edens V. (2019). Emergencies and Autism. Public safety communications. 85:41.

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