Recognition of Position Group Relationship in Dynamic Social Networks
Duddu Thabitha1, B. Jhansi Vazram2, G. Ezra Sastry3
1D. Thabitha*, Pursuing M.Tech., Computer Science and Engineering, Narasaraopet Engineering College, Narasaraopet, AP, India.
2G. Ezra Sastry, Pursuing M.Tech., Computer Science and Engineering, Narasaraopet Engineering College, Narasaraopet, AP, India.
3Dr.B. Jhansi Vazram, Professor, Computer Science and Engineering, Narasaraopeta Engineering College, Narasaraopet, AP, India.
Manuscript received on September 16, 2019. | Revised Manuscript received on 23 September, 2019. | Manuscript published on October 10, 2019. | PP: 118-121 | Volume-8 Issue-12, October 2019. | Retrieval Number: L25101081219/2019©BEIESP | DOI: 10.35940/ijitee.L2510.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Mental stress is turning into a threat to people’s health currently days. With the last step of life, a lot of and a lot of folks are feeling stressed. A novel hybrid model combined with Convolution Neural Network (CNN) to control tweet content and social interaction information for stress detection effectively. Network anomaly detection is an important and dynamic research area. Many network intrusion detection methods and systems (NIDS) have been proposed in the literature. Fake news detection on social media presents unique characteristics and challenges that make existing detection algorithms from traditional news media ineffective or not applicable. Based on the information that is provided by the online social network, the conditions are limited. This method can opinion investigation of Facebook post after Formation of point utilizing Support Vector Method (SVM). After grouping client is in pressure or not k-closest neighbor calculation (KNN) is utilized for proposal emergency clinic on a guide just as Admin can send letters of precautionary measure list for the client for end up solid and upbeat throughout everyday life.
Keywords: Stress Detection, Micro-Blog, Social Media, Social Interaction, Factor Graph Model, Social Media, Social Interaction
Scope of the Article: Foundations Dynamics