Affiliations: [a] Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla. Av. San Claudio S/N, San Manuel, Cd. Universitaria, 72570 Puebla, México | [b] Instituto de Ciencias Sociales y Humanidades, Benemérita Universidad Autónoma de Puebla. Av. Juan de Palafox y Mendoza No. 208, Centro, C.P. 72000, Puebla, México | [c] Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, México
Correspondence:
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Corresponding author. María Somodevilla-García, Facultad de Ciencias de la Computación, Benemérita Universidad Autónoma de Puebla. Av. San Claudio S/N, San Manuel, Cd. Universitaria, 72570 Puebla, México. Tel.: +52 1 222 229 5500; E-mail: [email protected].
Abstract: The aim of this article is to contextualize and describe the gathering and annotation of a conventual Hispanic and Novo Hispanic texts corpus for emotions identification. Such corpus will be the dataset for an emotions identification model based on machine learning ∖ deep learning techniques. Furthermore, this document describes several exploratory experiments carried out on the corpus. Within these experiments, it is described how the corpus is also used to obtain a lexicon mapped to polarities and emotions, and how some of the documents are hand-labeled by experts for the evaluation of the Machine Learning ∖ Deep learning -based emotion classification model. Finally, the future uses and experiments with said corpus are described.
Keywords: Corpus building, sentiment analysis, historical documents, emotions identification
