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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; Hampton, Andrew; Purohit, Hemant; Shalin, Valerie L. In: Valerie Shalin (2017) Abstract: The information overload created by social media messages in emergency situations challenges response organizations to find targeted content and users. We aim to select useful messages by detecting the presence of conversation as an indicator of coordinated citizen action. Using simple linguistic indicators associated with conversation analysis in social science, we model the presence of conversation in the communication landscape of Twitter in a large corpus of 1.5M tweets for various disaster and non-disaster events spanning different periods, lengths of time and varied social significance. Within Replies, Retweets and tweets that mention other Twitter users, we found that domain-independent, linguistic cues distinguish likely conversation from non-conversation in this online (mediated) communication. We demonstrate that conversation subsets within Replies, Retweets and tweets that mention other Twitter users potentially contain more information than non-conversation subsets. Information density also increases for tweets that are not Replies, Retweets or mentioning other Twitter users, as long as they reflect conversational properties. From a practical perspective, we have developed a model for trimming the candidate tweet corpus to identify a much smaller subset of data for submission to deeper, domain-dependent semantic analyses for the identification of actionable information nuggets for coordinated emergency response. 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/valerie_shalin/64 BASE Hide 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) BASE Show 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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