Evaluating the robustness of EmotiBlog for sentiment analysis and opinion mining
Contribuinte(s) |
Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
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Data(s) |
17/05/2012
17/05/2012
2011
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Resumo |
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. |
Identificador |
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 1313-8502 |
Idioma(s) |
eng |
Publicador |
INCOMA |
Direitos |
info:eu-repo/semantics/openAccess |
Palavras-Chave | #EmotiBlog #Robustness #Sentiment analysis #Opinion mining #Lenguajes y Sistemas Informáticos |
Tipo |
info:eu-repo/semantics/conferenceObject |