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1
Self-supervised learning to detect key frames in videos
In: Research outputs 2014 to 2021 (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)
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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)
Abstract: Social media platforms facilitate the emergence of citizen communities that discuss real-world events. Their content reflects a variety of intent ranging from social good (e.g., volunteering to help) to commercial interest (e.g., criticizing product features). Hence, mining intent from social data can aid in filtering social media to support organizations, such as an emergency management unit for resource planning. However, effective intent mining is inherently challenging due to ambiguity in interpretation, and sparsity of relevant behaviors in social data. In this paper, we address the problem of multiclass classification of intent with a use-case of social data generated during crisis events. Our novel method exploits a hybrid feature representation created by combining top-down processing using knowledge-guided patterns with bottom-up processing using a bag-of-tokens model. We employ pattern-set creation from a variety of knowledge sources including psycholinguistics to tackle the ambiguity challenge, social behavior about conversations to enrich context, and contrast patterns to tackle the sparsity challenge. Our results show a significant absolute gain up to 7% in the F1 score relative to a baseline using bottom-up processing alone, within the popular multiclass frameworks of One-vs-One and One-vs-All. Intent mining can help design efficient cooperative information systems between citizens and organizations for serving organizational information needs.
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/526
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13
Intent Classification of Short-Text on Social Media
In: Krishnaprasad Thirunarayan (2016)
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14
FACES: Diversity-Aware Entity Summarization using Incremental Hierarchical Conceptual Clustering
In: Kno.e.sis Publications (2015)
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15
Context-Driven Automatic Subgraph Creation for Literature-Based Discovery
In: Kno.e.sis Publications (2015)
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16
Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
In: John M. Flach (2015)
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17
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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18
An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases
In: Ashutosh Jadhav (2015)
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19
Online Information Searching for Cardiovascular Diseases: An Analysis of Mayo Clinic Search Query Logs
In: Ashutosh Jadhav (2015)
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20
What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
In: John M. Flach (2015)
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