D
Diego Reforgiato Recupero
Researcher at University of Cagliari
Publications - 201
Citations - 3300
Diego Reforgiato Recupero is an academic researcher from University of Cagliari. The author has contributed to research in topics: Semantic Web & Computer science. The author has an hindex of 24, co-authored 169 publications receiving 2333 citations. Previous affiliations of Diego Reforgiato Recupero include University of Catania & University of Maryland, College Park.
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Proceedings Article
Sentiment Analysis: Adjectives and Adverbs are better than Adjectives Alone
Farah Benamara,Carmine Cesarano,Antonio Picariello,Diego Reforgiato Recupero,V. S. Subrahmanian +4 more
TL;DR: This work proposes an AAC-based sentiment analysis technique that uses a linguistic analysis of adverbs of degree that leads to higher accuracy based on Pearson correlation with human subjects and describes the results of experiments.
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Semantic Web Machine Reading with FRED
Aldo Gangemi,Valentina Presutti,Diego Reforgiato Recupero,Andrea Giovanni Nuzzolese,Francesco Draicchio,Misael Mongiovì +5 more
TL;DR: Details about FRED’s capabilities, design issues, implementation and evaluation are provided, which make the tool suitable to be used as a semantic middleware for domainor task-specific applications.
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Frame-Based Detection of Opinion Holders and Topics: A Model and a Tool
TL;DR: Sentilo implements an approach based on the neo-Davidsonian assumption that events and situations are the primary entities for contextualizing opinions, which makes it able to distinguish holders, main topics, and sub-topics of an opinion.
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Annotated RDF
TL;DR: This paper presents Annotated RDF, in which RDF triples are annotated by members of a partially ordered set that can be selected in any way desired by the user, and develops algorithms to check consistency of aRDF theories and to answer queries to aR DF theories.
Journal ArticleDOI
Sentilo: Frame-Based Sentiment Analysis
Diego Reforgiato Recupero,Valentina Presutti,Sergio Consoli,Aldo Gangemi,Andrea Giovanni Nuzzolese +4 more
TL;DR: Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridizing natural language processing techniques and semantic Web technologies and on a formal model expressing the semantics of opinion sentences.