Corpus building and evaluation of aspect-based opinion summaries from tweets in Spanish

Daniel Peñaloza, Rodrigo López Condori, Juanjosé Tenorio Peña, Héctor Gómez, Arturo Oncevay-Marcos, Marco Antonio Sobrevilla Cabezudo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva


This project involves the presentation and analysis of a corpus of Spanish extractive and abstractive summaries of opinions. The purpose of this work is to display a corpus of diverse summaries that could be used as a reference for academic research as we have not found one for the Spanish language as far as we know. We have analyzed the summaries based on the agreement between them as this shows how different they are written between each other and on aspect coverage and sentiment orientation as this proves the difference between the content that each summary tries to express. After the experimentation, we have found that even if each annotator uses a different expression to summarize a text, all of them contain similar messages. Furthermore, when writing, all of them prioritize on common aspects that are more representative of the corpus.
Idioma originalEspañol
Título de la publicación alojadaLREC 2018 - 11th International Conference on Language Resources and Evaluation
Número de páginas5
EstadoPublicada - 1 ene. 2019

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