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1
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
In: Publications (2020)
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2
Personalized Prediction of Suicide Risk for Web-based Intervention
In: Krishnaprasad Thirunarayan (2019)
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3
Personalized Prediction of Suicide Risk for Web-based Intervention
In: Amit P. Sheth (2019)
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4
Personalized Prediction of Suicide Risk for Web-based Intervention
In: Kno.e.sis Publications (2018)
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5
RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem
In: Kno.e.sis Publications (2017)
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6
What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
In: Valerie Shalin (2017)
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7
What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
In: Valerie Shalin (2017)
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8
RQUERY: Rewriting Natural Language Queries on Knowledge Graphs to Alleviate the Vocabulary Mismatch Problem
In: Amit P. Sheth (2017)
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9
Intent Classification of Short-Text on Social Media
In: Valerie Shalin (2017)
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10
Context-Aware Semantic Association Ranking
In: Amit P. Sheth (2016)
Abstract: Discovering complex and meaningful relationships, which we call Semantic Associations, is an important challenge. Just as ranking of documents is a critical component of today's search engines, ranking of relationships will be essential in tomorrow's semantic search engines that would support discovery and mining of the Semantic Web. Building upon our recent work on specifying types of Semantic Associations in RDF graphs, which are possible to create through semantic metadata extraction and annotation, we discuss a framework where ranking techniques can be used to identify more interesting and more relevant Semantic Associations. Our techniques utilize alternative ways of specifying the context using ontology. This enables capturing users' interests more precisely and better quality results in relevance ranking.
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/amit_sheth/517
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11
ezDI's Semantics-Enhanced Linguistic, NLP, and ML Approach for Health Informatics
In: Amit P. Sheth (2016)
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12
Intent Classification of Short-Text on Social Media
In: Amit P. Sheth (2016)
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13
Intent Classification of Short-Text on Social Media
In: Krishnaprasad Thirunarayan (2016)
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14
Intent Classification of Short-Text on Social Media
In: Publications (2015)
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15
Intent Classification of Short-Text on Social Media
In: Publications (2015)
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16
FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering
In: Kno.e.sis Publications (2015)
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17
Context-Driven Automatic Subgraph Creation for Literature-Based Discovery
In: Kno.e.sis Publications (2015)
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18
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: John M. Flach (2015)
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19
Comparative Analysis of Online Health Queries Originating from Personal Computers and Smart Devices on a Consumer Health Information Portal
In: Ashutosh Jadhav (2015)
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20
An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases
In: Ashutosh Jadhav (2015)
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