Clustering emotions in Portuguese

Author:

Santos Diana1,Simões Alberto2

Affiliation:

1. University of Oslo & Linguateca, Norway

2. 2Ai, School of Technology, IPCA & Linguateca, Portugal

Abstract

In this paper we present some exploratory studies of emotion words basedon large annotated corpora of Portuguese. Those corpora were automaticallyannotated with emotionality, and each emotion word was assigned one or moregroups out of 26 emotion groups. Our goal is to evaluate those groups byapplying different statistical approaches to our material, namely based on (a)co-occurrence in a sentence as a sign of closeness of meaning, and (b) wordembeddings. After looking at the full material, we turn our attention to twospecific emotion groups: Amor (‘love’) and Desespero (‘despair’), investigating whether clustering with those underlying techniquescan help improve the shape, or redesign, particular emotion groups. In thepaper we suggest some novel forms of measuring semantic coherence on wordembedding models. Since computational research on emotion words in Portuguese is stillrare, our methods and resources will lay the ground for future investigations.@font-face{font-family:"Cambria Math";panose-1:2 4 5 3 5 4 6 3 2 4;mso-font-charset:0;mso-generic-font-family:roman;mso-font-pitch:variable;mso-font-signature:-536870145 1107305727 0 0 415 0;}@font-face{font-family:Times;panose-1:0 0 5 0 0 0 0 2 0 0;mso-font-charset:0;mso-generic-font-family:auto;mso-font-pitch:variable;mso-font-signature:-536870145 1342185562 0 0 415 0;}p.MsoNormal, li.MsoNormal, div.MsoNormal{mso-style-unhide:no;mso-style-qformat:yes;mso-style-parent:"";margin:0in;mso-pagination:none;mso-hyphenate:none;font-size:11.0pt;font-family:"Times New Roman",serif;mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:EN-US;}.MsoChpDefault{mso-style-type:export-only;mso-default-props:yes;font-size:11.0pt;mso-ansi-font-size:11.0pt;mso-bidi-font-size:11.0pt;font-family:"Calibri",sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Calibri;mso-fareast-theme-font:minor-latin;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-bidi;mso-ansi-language:EN-US;mso-fareast-language:EN-US;}.MsoPapDefault{mso-style-type:export-only;mso-hyphenate:none;}div.WordSection1{page:WordSection1;}

Publisher

Open Library of the Humanities

Subject

Linguistics and Language,Language and Linguistics

Reference54 articles.

1. Evaluating the Stability of Embedding-based Word Similarities;Antoniak, M.Mimno, D.;Transactions of the Association for Computational Linguistics,2018

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