Detecting sentiment polarities with sentilo

We present the tool used for the Concept-Level Sentiment Analysis Challenge ESWC-CLSA 2015 Task #1, concerning binary polarity detection of the sentiment of a sentence. Our tool is a little modification of Sentilo [7], an unsupervised, domain-independent system, previously developed by our group, that performs sentiment analysis by hybridizing natural language processing techniques with semantic web technologies. Sentilo is able to recognize the opinion holder and measure the sentiment expressed on topics and sub-topics. The knowledge extracted from the text is represented by means of an RDF graph. Holders and topics are linked to external knowledge. Sentilo is available as a REST service as well as a user-friendly demo.

Publication type: 
Contributo in volume
Author or Creator: 
Nuzzolese, Andrea Giovanni
Mongiovì Misael
Publisher: 
Springer-Verlag, Berlin, DEU
Source: 
Semantic Web Evaluation Challenges, edited by Gandon, Fabien; Cabrio, Elena; Stankovic, Milan; Zimmermann, Antoine, pp. 244–250. Berlin: Springer-Verlag, 2015
Date: 
2015
Resource Identifier: 
http://www.cnr.it/prodotto/i/366581
https://dx.doi.org/10.1007/978-3-319-25518-7_21
info:doi:10.1007/978-3-319-25518-7_21
http://www.scopus.com/record/display.url?eid=2-s2.0-84951299535&origin=inward
Language: 
Eng
ISTC Author: 
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