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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Data Mining Approach To The Detection Of Suicide In Social Media: A Case Study Of Singapore, Jane H. K. Seah, Kyong Jin Shim
Data Mining Approach To The Detection Of Suicide In Social Media: A Case Study Of Singapore, Jane H. K. Seah, Kyong Jin Shim
Research Collection School Of Computing and Information Systems
In this research, we focus on the social phenomenon of suicide. Specifically, we perform social sensing on digital traces obtained from Reddit. We analyze the posts and comments in that are related to depression and suicide. We perform natural language processing to better understand different aspects of human life that relate to suicide.
Public Comment Sentiment On Educational Videos: Understanding The Effects Of Presenter Gender, Video Format, Threading, And Moderation On Youtube Ted Talk Comments, George Veletsianos, Royce Kimmons, Ross Larsen, Tonia A. Dousay, Patrick R. Lowenthal
Public Comment Sentiment On Educational Videos: Understanding The Effects Of Presenter Gender, Video Format, Threading, And Moderation On Youtube Ted Talk Comments, George Veletsianos, Royce Kimmons, Ross Larsen, Tonia A. Dousay, Patrick R. Lowenthal
Educational Technology Faculty Publications and Presentations
Scholars, educators, and students are increasingly encouraged to participate in online spaces. While the current literature highlights the potential positive outcomes of such participation, little research exists on the sentiment that these individuals may face online and on the factors that may lead some people to face different types of sentiment than others. To investigate these issues, we examined the strength of positive and negative sentiment expressed in response to TEDx and TED-Ed talks posted on YouTube (n = 655), the effect of several variables on comment and reply sentiment (n = 774,939), and the projected effects that …
Learning Latent Characteristics Of Locations Using Location-Based Social Networking Data, Thanh Nam Doan
Learning Latent Characteristics Of Locations Using Location-Based Social Networking Data, Thanh Nam Doan
Dissertations and Theses Collection (Open Access)
This dissertation addresses the modeling of latent characteristics of locations to describe the mobility of users of location-based social networking platforms. With many users signing up location-based social networking platforms to share their daily activities, these platforms become a gold mine for researchers to study human visitation behavior and location characteristics. Modeling such visitation behavior and location characteristics can benefit many use- ful applications such as urban planning and location-aware recommender sys- tems. In this dissertation, we focus on modeling two latent characteristics of locations, namely area attraction and neighborhood competition effects using location-based social network data. Our literature survey …