Sentilo: Frame-Based Sentiment Analysis

• Published in: Cognitive computation Vol. 7; no. 2; pp. 211 - 225
• Main Authors: Reforgiato Recupero, Diego, Presutti, Valentina, Consoli, Sergio, Gangemi, Aldo, Nuzzolese, Andrea Giovanni
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01-04-2015; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Biomedical and Life Sciences; Biomedicine; Computation by Abstract Devices; Computational Biology/Bioinformatics; Data mining; Hotels & motels; Natural language; Natural language processing; Neurosciences; Ontology; Presidents; Semantics; Sentences; Sentiment analysis; Sentiment analysis; Opinion mining; Conceptual frames; Sentic computing
• ISSN: 1866-9956; 1866-9964
• DOI: 10.1007/s12559-014-9302-z

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 an opinion, Sentilo recognizes its holder, detects the topics and subtopics that it targets, links them to relevant situations and events referred to by it and evaluates the sentiment expressed on each topic/subtopic. Sentilo relies on a novel lexical resource, which enables a proper propagation of sentiment scores from topics to subtopics, and on a formal model expressing the semantics of opinion sentences. Sentilo provides its output as a RDF graph, and whenever possible it resolves holders’ and topics’ identity on Linked Data.