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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2020
عنوان انگلیسی مقاله:
Does government information release really matter in regulating contagionevolution of negative emotion during public emergencies? From the perspective of cognitive big data analytics
ترجمه فارسی عنوان مقاله:
آیا انتشار اطلاعات دولتی در تنظیم تکامل منفی احساسات منفی در مواقع اضطراری عمومی اهمیت دارد؟ از منظر تجزیه و تحلیل داده های بزرگ شناختی
منبع:
Sciencedirect - Elsevier - International Journal of Information Management, 50 (2020) 498-514: doi:10:1016/j:ijinfomgt:2019:04:001
نویسنده:
Wei Zhanga, Meng Wanga, Yan-chun Zhub,⁎
چکیده انگلیسی:
The breeding and spreading of negative emotion in public emergencies posed severe challenges to social governance.
The traditional government information release strategies ignored the negative emotion evolution
mechanism. Focusing on the information release policies from the perspectives of the government during public
emergency events, by using cognitive big data analytics, our research applies deep learning method into news
framing framework construction process, and tries to explore the influencing mechanism of government information
release strategy on contagion-evolution of negative emotion. In particular, this paper first uses
Word2Vec, cosine word vector similarity calculation and SO-PMI algorithms to build a public emergenciesoriented
emotional lexicon; then, it proposes a emotion computing method based on dependency parsing, designs
an emotion binary tree and dependency-based emotion calculation rules; and at last, through an experiment,
it shows that the emotional lexicon proposed in this paper has a wider coverage and higher accuracy than
the existing ones, and it also performs a emotion evolution analysis on an actual public event based on the
emotional lexicon, using the emotion computing method proposed. And the empirical results show that the
algorithm is feasible and effective. The experimental results showed that this model could effectively conduct
fine-grained emotion computing, improve the accuracy and computational efficiency of sentiment classification.
The final empirical analysis found that due to such defects as slow speed, non transparent content, poor penitence
and weak department coordination, the existing government information release strategies had a significant
negative impact on the contagion-evolution of anxiety and disgust emotion, could not regulate negative
emotions effectively. These research results will provide theoretical implications and technical supports for the
social governance. And it could also help to establish negative emotion management mode, and construct a new
pattern of the public opinion guidance.
Keywords: Government information release | Cognitive big data analytics | E-government | Sentiment analysis | Public emergency events
قیمت: رایگان
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