PROJECT TITLE :

Detecting Stress Based on Social Interactions in Social Networks - 2017

ABSTRACT:

Psychological stress is threatening folks's health. It is non-trivial to detect stress timely for proactive care. With the popularity of social media, individuals are used to sharing their daily activities and interacting with friends on social media platforms, making it feasible to leverage on-line social network knowledge for stress detection. During this paper, we notice that users stress state is closely connected to that of his/her friends in social media, and we use a giant-scale dataset from real-world social platforms to systematically study the correlation of users' stress states and social interactions. We have a tendency to first define a group of stress-connected textual, visual, and social attributes from numerous aspects, and then propose a unique hybrid model - a issue graph model combined with Convolutional Neural Network to leverage tweet content and social interaction data for stress detection. Experimental results show that the proposed model will improve the detection performance by half-dozen-9 p.c in F1-score. By more analyzing the social interaction knowledge, we tend to also discover many intriguing phenomena, i.e., the quantity of social structures of sparse connections (i.e., with no delta connections) of stressed users is around fourteen percent more than that of non-stressed users, indicating that the social structure of stressed users' friends are less connected and simpler than that of non-stressed users.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE :From Latency, Through Outbreak, to Decline: Detecting Different States of Emergency Events Using Web Resources - 2018ABSTRACT:An emergency event may be a sudden, urgent, typically sudden incident or occurrence that
PROJECT TITLE :Detecting Bitrate Modulation-Based Covert Voice-Over-IP Communication - 2018ABSTRACT:Steganography based on bitrate modulation could be a new type of information hiding approach for Voice over IP (VoIP), which
PROJECT TITLE : Detecting overly strong preconditions in refactoring engines - 2017 ABSTRACT: Refactoring engines may have overly sturdy preconditions preventing developers from applying helpful transformations. We have a tendency
PROJECT TITLE : ProGuard: Detecting Malicious Accounts in Social-Network-Based Online Promotions - 2017 ABSTRACT: Online social networks (OSNs) gradually integrate monetary capabilities by enabling the usage of real and virtual
PROJECT TITLE :Step-Down Spatial Randomness Test for Detecting Abnormalities in DRAM Wafers with Multiple Spatial MapsABSTRACT:Defects on semiconductor wafers don't seem to be uniformly distributed, however tend to cluster. These

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry