Text similarity computation model for identifying rumor based on Bayesian network in microblog

المؤلفون المشاركون

Li, Pu
Liu, Fengming
Li, Chengcheng

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 17، العدد 5 (30 سبتمبر/أيلول 2020)، ص ص. 731-741، 11ص.

الناشر

جامعة الزرقاء عمادة البحث العلمي

تاريخ النشر

2020-09-30

دولة النشر

الأردن

عدد الصفحات

11

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

The research of text similarity, especially for rumor texts, which constructed the calculation model by known rumors and calculated its similarity.

From which, people can recognize the rumor in advance, and improve their vigilance to effectively block and control rumors dissemination.

Based on the Bayesian network, the similarity calculation model of microblog rumor texts was built.

At the same time, taking into account not only the rumor texts have similar characters, but also the rumor producers have similar characters, and therefore the similarity calculation model of rumor texts makers was constructed.

Then, the similarity between the text and the user was integrated, and the microblog similarity calculation model was established.

Finally, also experimentally studied the performance of the proposed model on the microblog rumor text and the user data set.

The experimental results indicated that the similarity algorithm proposed in this paper could be used to identify the rumors of texts and predict the characters of users more accurately and effectively.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Li, Chengcheng& Liu, Fengming& Li, Pu. 2020. Text similarity computation model for identifying rumor based on Bayesian network in microblog. The International Arab Journal of Information Technology،Vol. 17, no. 5, pp.731-741.
https://search.emarefa.net/detail/BIM-1439753

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Li, Chengcheng…[et al.]. Text similarity computation model for identifying rumor based on Bayesian network in microblog. The International Arab Journal of Information Technology Vol. 17, no. 5 (Sep. 2020), pp.731-741.
https://search.emarefa.net/detail/BIM-1439753

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Li, Chengcheng& Liu, Fengming& Li, Pu. Text similarity computation model for identifying rumor based on Bayesian network in microblog. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 5, pp.731-741.
https://search.emarefa.net/detail/BIM-1439753

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references : p. 740-741

رقم السجل

BIM-1439753