97 citations · 397 across the 32 of their papers we have counts for
7 papers · 1 filter
Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application
Revathy Venkataramanan, Dipesh Kadariya, Hong Yung Yip +4
Objective: Asthma is a chronic pulmonary disease with multiple triggers manifesting as symptoms with various intensities. This paper evaluates the suitability of long-term monitori…
Analyzing and learning the language for different types of harassment
Mohammadreza Rezvan, Saeedeh Shekarpour, Faisal Alshargi +3
Disclaimer: This paper is concerned with violent online harassment. To describe the subject at an adequate level of realism, examples of our collected tweets involve violent, threa…
Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter
Saeedeh Shekarpour, Ankita Saxena, Krishnaprasad Thirunarayan +2
The ever-growing datasets published on Linked Open Data mainly contain encyclopedic information. However, there is a lack of quality structured and semantically annotated datasets…
"What's ur type?" Contextualized Classification of User Types in Marijuana-related Communications using Compositional Multiview Embedding
Ugur Kursuncu, Manas Gaur, Usha Lokala +5
With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing infor…
Predictive Analysis on Twitter: Techniques and Applications
Ugur Kursuncu, Manas Gaur, Usha Lokala +3
Predictive analysis of social media data has attracted considerable attention from the research community as well as the business world because of the essential and actionable info…
A Practical Incremental Learning Framework For Sparse Entity Extraction
Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay +2
This work addresses challenges arising from extracting entities from textual data, including the high cost of data annotation, model accuracy, selecting appropriate evaluation crit…