Automatic Vocabulary Grouping and Deep
Combination for News Credibility andReliability Evaluation Corresponding to Specific
Language
Ming-Shen Jian*, Rong-Bin Deng**, Chen-Wei Fang***, Hua-Yu Wu****, Wen-Hsiang Hsieh*****
Cloud Computing and Intelligent System Lab., Dept. of CSIE, National Formosa University
Yunlin County, Taiwan 632
jianms@nfu.edu.tw, 40743162@gm.nfu.edu.tw, 40743206@gm.nfu.edu.tw, 40743212@gm.nfu.edu.tw,40743160@gm.nfu.edu.tw

Abstract—Considering the spread of the intentional false news, to be aware of the new news is important. In this research, theAutomatic Deep Vocabulary Grouping and Combination for News Credibility and Reliability Evaluation is proposed which includes
Key Vocabularies Merging Method and False News Warning Method. By merging different algorithms, the proposed system could
cluster and group the fake news according to the found features of various fake news content. The proposed system could find andverify the features of the specific intentional false news according to the proposed deep combination evaluation function. After
suitable verification and recursive checking, the minimum groups for clustering the fake news could be given. Based on the collectedfeatures of the various intentional false news, the new coming news can be classified as the false news due to the feature matching
percentage. According to the verification, all the collected and proved fake news could be found and clustered into the corresponding
fake news groups.
Keyword—False News, Cluster, Web Crawler, Cloud Computing
Ming-Shen Jian was born in Kaohsiung City, Taiwan in 1978. He received the B.S. from the National Chiao Tung University, HsinChu,and Ph.D degrees in Computer Science and Engineering from the National Sun Yat-sen University, Kaohsiung, Taiwan in 2007.
From 2018, he was an Associate Professor and director with the National Formosa University Cloud Computing and Intelligent SystemLaboratory. Currently he is also an IEEE Senior Member. Since 2009, he has been an Assistant Professor with the Computer Science andInformation Engineering Department, National Formosa University. He is the author of four books, more than 50 articles, and at least 15
invention patents. His research interests include IOT development and application, Big Data, Optimal Solution, Intelligent System, andCloud Computing. He was a Secretary of the Taiwan Association of Cloud Computing. Dr. Jian was a recipient of the IEEE sponsoredinternational conference Paper Award in 2016, 2017, and 2018.
Rong-Bin Deng was born in 2000, Taiwan. Currently he is an B.S. degree student of Dept. Computer Science and Information
Engineering at National Formosa University. His current research interests are in the area related to Web Service, and Cloud Computing.
He joins the Cloud Computing and Intelligent System Lad. (CCIS Lab.) from 2019.

Chen-Wei Fang was born in 1999, Taiwan. Currently he is an B.S. degree student of Dept. Computer Science and Information
Engineering at National Formosa University. His current research interests are in the area related to IoT, and Cloud Computing. He joins
the Cloud Computing and Intelligent System Lad. (CCIS Lab.) from 2019.

Hua-Yu Wu was born in 1999, Taiwan. Currently he is an B.S. degree student of Dept. Computer Science and Information Engineeringat National Formosa University. His current research interests are in the area related to Big Data, and Cloud Computing. He joins theCloud Computing and Intelligent System Lad. (CCIS Lab.) from 2019.

Wen-Hsiang Hsieh was born in 2000, Taiwan. Currently he is an B.S. degree student of Dept. Computer Science and Information
Engineering at National Formosa University. His current research interests are in the area related to Web Service, and Cloud Computing.
He joins the Cloud Computing and Intelligent System Lad. (CCIS Lab.) from 2019.