Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining
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http://hdl.handle.net/10045/22490
Title: | Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining |
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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:
File | Description | Size | Format | |
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2011_Boldrini_RANLP.pdf | 159,37 kB | Adobe PDF | Open Preview | |
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