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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 Hits 1 – 20 of 83 1 Personalized Prediction of Suicide Risk for Web-based Intervention Alambo, Amanuel; Gaur, Manas; Kursuncu, Ugur... In: Krishnaprasad Thirunarayan (2019) BASE Show details 2 Personalized Prediction of Suicide Risk for Web-based Intervention Alambo, Amanuel; Gaur, Manas; Kursuncu, Ugur... In: Amit P. Sheth (2019) BASE Show details 3 Personalized Prediction of Suicide Risk for Web-based Intervention Alambo, Amanuel; Gaur, Manas; Kursuncu, Ugur... In: Kno.e.sis Publications (2018) BASE Show details 4 RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem Shekarpour, Saeedeh; Marx, Edgard; Auer, Sören... In: Kno.e.sis Publications (2017) BASE Show details 5 What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination Purohit, Hemant; Shalin, Valerie L.; Sheth, Amit P.... In: Valerie Shalin (2017) BASE Show details 6 What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination Sheth, Amit P.; Flach, John M.; Bhatt, Shreyansh... In: Valerie Shalin (2017) BASE Show details 7 RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem Shekarpour, Saeedeh; Marx, Edgard; Auer, Sören... In: Amit P. Sheth (2017) BASE Show details 8 Intent Classification of Short-Text on Social Media Purohit, Hemant; Dong, Guozhu; Shalin, Valerie L.... In: Valerie Shalin (2017) BASE Show details 9 Context-Aware Semantic Association Ranking Aleman-Meza, Boanerges; Halaschek, Chris; Arpinar, I. Budak... In: Amit P. Sheth (2016) BASE Show details 10 ezDI's Semantics-Enhanced Linguistic, NLP, and ML Approach for Health Informatics Goswami, Raxit; Shah, Neil; Sheth, Amit P. In: Amit P. Sheth (2016) BASE Show details 11 Intent Classification of Short-Text on Social Media Purohit, Hemant; Dong, Guozhu; Shalin, Valerie L.... In: Amit P. Sheth (2016) BASE Show details 12 Intent Classification of Short-Text on Social Media Purohit, Hemant; Dong, Guozhu; Shalin, Valerie L.... In: Krishnaprasad Thirunarayan (2016) BASE Show details 13 FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering Gunaratna, Kalpa; Thirunarayan, Krishnaprasad; Sheth, Amit P. In: Kno.e.sis Publications (2015) BASE Show details 14 Context-Driven Automatic Subgraph Creation for Literature-Based Discovery Cameron, Delroy H.; Kavuluru, Ramakanth; Rindflesch, Thomas... In: Kno.e.sis Publications (2015) BASE Show details 15 Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination Purohit, Hemant; Hampton, Andrew; Bhatt, Shreyansh... In: John M. Flach (2015) BASE Show details 16 Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal Wu, Stephen; Pathak, Jyotishman; Jadhav, Ashutosh Sopan... In: Ashutosh Jadhav (2015) BASE Show details 17 An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Ashutosh Jadhav (2015) BASE Show details 18 Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs Jadhav, Ashutosh Sopan; Sheth, Amit P.; Pathak, Jyotishman In: Ashutosh Jadhav (2015) Abstract: Since the early 2000’s, Internet usage for health information searching has increased significantly. Studying search queries can help us to understand users “information need” and how do they formulate search queries (“expression of information need”). Although cardiovascular diseases (CVD) affect a large percentage of the population, few studies have investigated how and what users search for CVD. We address this knowledge gap in the community by analyzing a large corpus of 10 million CVD related search queries from MayoClinic.com. Using UMLS MetaMap and UMLS semantic types/concepts, we developed a rule-based approach to categorize the queries into 14 health categories. We analyzed structural properties, types (keyword-based/Wh-questions/Yes-No questions) and linguistic structure of the queries. Our results show that the most searched health categories are ‘Diseases/Conditions’, ‘Vital- Sings’, ‘Symptoms’ and ‘Living-with’. CVD queries are longer and are predominantly keyword-based. This study extends our knowledge about online health information searching and provides useful insights for Web search engines and health websites. Keyword: Bioinformatics; Communication; Communication Technology and New Media; Computer Sciences; Databases and Information Systems; Life Sciences; OS and Networks; Physical Sciences and Mathematics; Science and Technology Studies; Social and Behavioral Sciences URL: https://works.bepress.com/ashutosh_jadhav/9 BASE Hide details 19 What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination Shalin, Valerie L.; Purohit, Hemant; Bhatt, Shreyansh... In: John M. Flach (2015) BASE Show details 20 Intent Classification of Short-Text on Social Media Purohit, Hemant; Dong, Guozhu; Shalin, Valerie L.... In: Kno.e.sis Publications (2015) BASE Show details Page: 1 2 3 4 5

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