EmoSpell, a Morphological and Emotional Word Analyzer

• Tipo: Artigo em Revista Científica Internacional
• Data: 2018

Autores

Maia, MI (Autor) Outra; José Paulo Leal (Autor) FCUP

Revista

Título: Information (Switzerland)

Vol. 9

Página Final: 1

ISSN: 2078-2489

Editora: MDPI

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00N-FXY

DOI: 10.3390/info9010001

Abstract (EN): The analysis of sentiments, emotions, and opinions in texts is increasingly important in the current digital world. The existing lexicons with emotional annotations for the Portuguese language are oriented to polarities, classifying words as positive, negative, or neutral. To identify the emotional load intended by the author, it is necessary to also categorize the emotions expressed by individual words. EmoSpell is an extension of a morphological analyzer with semantic annotations of the emotional value of words. It uses Jspell as the morphological analyzer and a new dictionary with emotional annotations. This dictionary incorporates the lexical base EMOTAIX. PT, which classifies words based on three different levels of emotions-global, specific, and intermediate. This paper describes the generation of the EmoSpell dictionary using three sources: the Jspell Portuguese dictionary and the lexical bases EMOTAIX. PT and SentiLex-PT. Additionally, this paper details the Web application and Web service that exploit this dictionary. It also presents a validation of the proposed approach using a corpus of student texts with different emotional loads. The validation compares the analyses provided by EmoSpell with the mentioned emotional lexical bases on the ability to recognize emotional words and extract the dominant emotion from a text.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 19