作者: Diego Reforgiato Recupero , Valentina Presutti , Sergio Consoli , Aldo Gangemi , Andrea Giovanni Nuzzolese
DOI: 10.1007/S12559-014-9302-Z
关键词: Frame based 、 Linked data 、 Information retrieval 、 Semantics 、 Sentiment analysis 、 Computer science 、 Semantic Web 、 Natural language processing 、 Artificial intelligence 、 Sentence 、 Identity (object-oriented programming) 、 Lexical resource
摘要: Sentilo is an unsupervised, domain-independent system that performs sentiment analysis by hybridizing natural language processing techniques and semantic Web technologies. Given a sentence expressing opinion, recognizes its holder, detects the topics subtopics it targets, links them to relevant situations events referred evaluates expressed on each topic/subtopic. relies novel lexical resource, which enables proper propagation of scores from subtopics, formal model semantics opinion sentences. provides output as RDF graph, whenever possible resolves holders’ topics’ identity Linked Data.