@article{senpy-gsi-article-2019,
author = "S{\'a}nchez-Rada, J. Fernando and Araque, Oscar and Iglesias, Carlos A.",
abstract = "Senpy is a framework to develop, evaluate and publish web services for sentiment and emotion analysis in text. The framework is aimed towards both developers and users. For developers, it is a means to evaluate their classifiers and easily publish them as web services. For users, it is a way to consume sentiment analysis from different providers through the same interface. This is achieved through a combination of an API aligned with the NLP Interchange Format (NIF) service specification, the use of semantic formats and a series of well established vocabularies. The framework is Open Source, and has been used extensively in several projects. As a result, several Senpy Open Source services are available for use and download.",
comments = "JCR 2019 Q1 5.921, SJR 2019 Q1 1.754, Scopus 2019 Q1 11.7",
journal = "Knowledge-Based Systems",
keywords = "Sentiment analysis;evaluation;emotion analysis;linked data",
month = "November",
title = "{S}enpy: {A} framework for semantic sentiment and emotion analysis services",
url = "https://www.sciencedirect.com/science/article/pii/S0950705119305313",
year = "2019",
}