Senpy: A framework for semantic sentiment and emotion analysis services

J. Fernando Sánchez-Rada, Oscar Araque & Carlos A. Iglesias. (2019). Senpy: A framework for semantic sentiment and emotion analysis services. Knowledge-Based Systems.

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.
JCR 2018 Q1 5.101