Memorias de investigación
Research Publications in journals:
Senpy: A framework for semantic sentiment and emotion analysis services
Year:2019

Research Areas
  • Engineering

Information
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.
International
Si
JCR
No
Title
Knowledge-Based Systems
ISBN
0950-7051
Impact factor JCR
5,101
Impact info
Volume
10.1016/j.knosys.2019.105193
Journal number
From page
1
To page
3
Month
SIN MES
Ranking
Participants

Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Inteligentes
  • Departamento: Ingeniería de Sistemas Telemáticos