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Social and Behavioral Sciences Commons™

Open Access. Powered by Scholars. Published by Universities.®

2018

Data mining

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Articles 1 - 9 of 9

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 Dec 2018

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.

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Traffic-Cascade: Mining And Visualizing Lifecycles Of Traffic Congestion Events Using Public Bus Trajectories, Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim Oct 2018

Traffic-Cascade: Mining And Visualizing Lifecycles Of Traffic Congestion Events Using Public Bus Trajectories, Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

As road transportation supports both economic and social activities in developed cities, it is important to maintain smooth traffic on all highways and local roads. Whenever possible, traffic congestions should be detected early and resolved quickly. While existing traffic monitoring dashboard systems have been put in place in many cities, these systems require high-cost vehicle speed monitoring instruments and detect traffic congestion as independent events. There is a lack of low-cost dashboards to inspect and analyze the lifecycle of traffic congestion which is critical in assessing the overall impact of congestion, determining the possible the source(s) of congestion and its …

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Exploring The Relationship Between Online Discourse And Commitment In Twitter Professional Learning Communities, Wanli Xing, Fei Gao Aug 2018

Exploring The Relationship Between Online Discourse And Commitment In Twitter Professional Learning Communities, Wanli Xing, Fei Gao

Visual Communications and Technology Education Faculty Publications

Educators show great interest in participating in social-media communities, such as Twitter, to support their professional development and learning. The majority of the research into Twitter-based professional learning communities has investigated why educators choose to use Twitter for professional development and learning and what they actually do in these communities. However, few studies have examined why certain community members remain committed and others gradually drop out. To fill this gap in the research, this study investigated how some key features of online discourse influenced the continued participation of the members of a Twitter-based professional learning community. More than 600,000 tweets …

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Civic Engagement On Social Media: 2018 West Java Gubernatorial Election In Indonesia, Idham Tamim Aldary, Ummi Salamah Jul 2018

Civic Engagement On Social Media: 2018 West Java Gubernatorial Election In Indonesia, Idham Tamim Aldary, Ummi Salamah

Jurnal Komunikasi Indonesia

Strategi hypermedia dalam kontestasi politik digunakan untuk mempromosikan program-program pengetahuan politik baik oleh kandidat maupun partai kepada masyarakat untuk mempertahankan hak dan kewajiban kewarganegaraan. Pengetahuan politik seseorang dapat meningkatkan tingkat partisipasi politik mereka, yang diperlukan untuk menilai kualitas kandidat. Tujuan dari penelitian ini adalah untuk melihat kesadaran dan keterlibatan kandidat politik dengan pemilih. Penelitian ini berfokus pada strategi politik kandidat dalam membangun pesan kampanye, menarik pemilih yang ditargetkan, dan merangsang partisipasi politik komunitas melalui platform Instagram. Penelitian ini dilakukan dengan menganalisis 80.328 posting media sosial. Penelitian menemukan bahwa tidak semua kandidat menyadari manfaat dari melibatkan pemilih yang ditargetkan di akun …

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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 Jun 2018

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 …

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Data-Driven Optimization Models For Feeder Bus Network Design, Yaojun Wang May 2018

Data-Driven Optimization Models For Feeder Bus Network Design, Yaojun Wang

Theses and Dissertations

Urbanization is not a modern phenomenon. However, it is worthwhile to note that the world urban population growth curve has up till recently followed a quadratic-hyperbolic pattern (Korotayey and Khaltourina, 2006). As cities become larger and their population expand, large and growing metropolises have to face the enormous traffic demand. To alleviate the increasing traffic congestion, public transit has been considered as the ideal solution to such troubles and problems restricting urban development. The metro is a type of efficient, dependable and high-capacity public transport adapted in metropolises worldwide. At the same time, the residents from crowded cities migrated to …

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Learning Latent Characteristics Of Locations Using Location-Based Social Networking Data, Thanh Nam Doan May 2018

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 …

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Understanding The Novice Decision-Making Process In Forensic Footwear Examinations: Accuracy And Decision Rules, Madonna A. Nobel Jan 2018

Understanding The Novice Decision-Making Process In Forensic Footwear Examinations: Accuracy And Decision Rules, Madonna A. Nobel

Graduate Theses, Dissertations, and Problem Reports

The reproducibility of experienced-based forensic pattern interpretation is founded on the notion that domain-specific knowledge can be successfully distributed and applied among experts within a group. This assumption persists, even when the examination is complicated by variations in case circumstances, such as impression clarity and totality, as well as media, substrate, collection mechanism and enhancement. While it is further theorized that many of these factors (as well as additional confounding factors) are at play during an examination, the manner and extent to which these sources of variability affect the examination of footwear evidence remain unclear. In order to explore this …

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Clinical Information Extraction From Unstructured Free-Texts, Mingzhe Tao Jan 2018

Clinical Information Extraction From Unstructured Free-Texts, Mingzhe Tao

Legacy Theses & Dissertations (2009 - 2024)

Information extraction (IE) is a fundamental component of natural language processing (NLP) that provides a deeper understanding of the texts. In the clinical domain, documents prepared by medical experts (e.g., discharge summaries, drug labels, medical history records) contain a significant amount of clinically-relevant information that is crucial to the overall well-being of patients. Unfortunately, in many cases, clinically-relevant information is presented in an unstructured format, predominantly consisting of free-texts, making it inaccessible to computerized methods. Automatic extraction of this information can improve accessibility. However, the presence of synonymous expressions, medical acronyms, misspellings, negated phrases, and ambiguous terminologies make automatic extraction …

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