Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/22490
Información del item - Informació de l'item - Item information
Title: Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining
Authors: Boldrini, Ester | Fernández Martínez, Javier | Gómez, José M. | Martínez-Barco, Patricio
Research Group/s: Procesamiento del Lenguaje y Sistemas de Información (GPLSI)
Center, Department or Service: Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos
Keywords: EmotiBlog | Robustness | Sentiment analysis | Opinion mining
Knowledge Area: Lenguajes y Sistemas Informáticos
Issue Date: 2011
Publisher: INCOMA
Citation: BOLDRINI, Ester, et al. "Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining". En: Proceedings of Recent Advances in Natural Language Processing : Hissar, Bulgaria, 12-14 September 2011, pp. 521-526
Abstract: Preliminary research demonstrated the EmotiBlog annotated corpus relevance as a Machine Learning resource to detect subjective data. In this paper we compare EmotiBlog with the JRC Quotes corpus in order to check the robustness of its annotation. We concentrate on its coarse-grained labels and carry out a deep Machine Learning experimentation also with the inclusion of lexical resources. The results obtained show a similarity with the ones obtained with the JRC Quotes corpus demonstrating the EmotiBlog validity as a resource for the SA task.
URI: http://hdl.handle.net/10045/22490
ISSN: 1313-8502
Language: eng
Type: info:eu-repo/semantics/conferenceObject
Peer Review: si
Appears in Collections:INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc.

Files in This Item:
Files in This Item:
File Description SizeFormat 
Thumbnail2011_Boldrini_RANLP.pdf159,37 kBAdobe PDFOpen Preview

Items in RUA are protected by copyright, with all rights reserved, unless otherwise indicated.