His primary areas of investigation include Information retrieval, Artificial intelligence, Natural language processing, Sentiment analysis and Semantic Web. His Information retrieval study combines topics from a wide range of disciplines, such as Text mining, Event and Semantics. His research integrates issues of Context, Contrast and Data mining in his study of Artificial intelligence.
The Sentiment analysis study combines topics in areas such as Sentence, Structure, Rhetorical question and Lexicon. His Semantic Web research is within the category of World Wide Web. His research investigates the link between Semantic Web Stack and topics such as Social Semantic Web that cross with problems in Semantic search, Semantic computing and Semantic grid.
His scientific interests lie mostly in Information retrieval, Artificial intelligence, Natural language processing, Semantic Web and World Wide Web. Flavius Frasincar interconnects Product, Semantics and Personalization in the investigation of issues within Information retrieval. Flavius Frasincar has researched Artificial intelligence in several fields, including Structure and Machine learning.
His Natural language processing study combines topics in areas such as Context, Word and Web Ontology Language. His Semantic Web research includes themes of Decision support system and Knowledge base. His studies deal with areas such as Negation, Lexicon, Text mining, SemEval and Focus as well as Sentiment analysis.
His primary areas of study are Artificial intelligence, Sentiment analysis, Natural language processing, Ontology and Support vector machine. His work deals with themes such as Machine learning and Recommender system, which intersect with Artificial intelligence. His study in Sentiment analysis is interdisciplinary in nature, drawing from both Hybrid approach, Service, Text mining, Structure and Social media.
His research in Natural language processing tackles topics such as Word which are related to areas like Negation, Finance and Lexicon. His Ontology study introduces a deeper knowledge of Information retrieval. His Information retrieval research is multidisciplinary, relying on both Semantics, Software and Personalization.
Flavius Frasincar focuses on Sentiment analysis, Ontology, Artificial intelligence, Natural language processing and Information retrieval. His research investigates the connection between Sentiment analysis and topics such as Service that intersect with issues in Product, Product, Data mining, Co-occurrence and Text mining. His Artificial intelligence study which covers Structure that intersects with Context.
His Natural language processing research integrates issues from Association rule learning, Contrast and Word. His Information retrieval research includes themes of Semantics, Semantic lexicon and Extension. Flavius Frasincar has included themes like Semantic Web, Concept Relationship and Personalization in his Semantics study.
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Survey on Aspect-Level Sentiment Analysis
Kim Schouten;Flavius Frasincar.
IEEE Transactions on Knowledge and Data Engineering (2016)
Exploiting emoticons in sentiment analysis
Alexander Hogenboom;Daniella Bal;Flavius Frasincar;Malissa Bal.
acm symposium on applied computing (2013)
Ontology-based news recommendation
Wouter IJntema;Frank Goossen;Flavius Frasincar;Frederik Hogenboom.
edbt icdt workshops (2010)
Engineering semantic web information systems in Hera
Richard Vdovjak;Flavius Frasincar;Geert-Jan Houben;Peter Barna.
Journal of Web Engineering (2003)
An overview of event extraction from text
FP Hogenboom;F Flavius Frasincar;U Uzay Kaymak;de Fmg Jong.
conference; ISWC 2011; 2011-10-23; 2011-10-23 (2011)
Polarity analysis of texts using discourse structure
Bas Heerschop;Frank Goossen;Alexander Hogenboom;Flavius Frasincar.
conference on information and knowledge management (2011)
A Survey of event extraction methods from text for decision support systems
Frederik Hogenboom;Flavius Frasincar;Uzay Kaymak;Franciska de Jong.
decision support systems (2016)
Supervised and Unsupervised Aspect Category Detection for Sentiment Analysis with Co-occurrence Data
Kim Schouten;Onne van der Weijde;Flavius Frasincar;Rommert Dekker.
Hera: development of semantic web information systems
Geert-Jan Houben;Peter Barna;Flavius Frasincar;Richard Vdovjak.
international conference on web engineering (2003)
Domain taxonomy learning from text: The subsumption method versus hierarchical clustering
Jeroen De Knijff;Flavius Frasincar;Frederik Hogenboom.
data and knowledge engineering (2013)
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