The Personality Lexicon in Brazilian Portuguese: Studies with Natural Language

Abstract

iv Procura da poesia (...) Chega mais perto e contempla as palavras.Cada uma tem mil faces secretas sob a face neutra e te pergunta, sem interesse pela resposta, pobre ou terrível, que lhe deres:Trouxeste a chave? (...) Carlos Drummond de Andrade in A Rosa do Povo (1945) From March 1979Tired of all who come with words, words but no language I went to the snow-covered island.The wild does not have words.The unwritten pages spread out on all sides! I come upon the tracks of roe deer in the snow.Language but no words. Tomas Tranströmer in The Wild Market Square (1983, trad. Robin Fulton) v DedicatoryThis dissertation is dedicated to Professor Jacob Laros and to Professor Luiz Pasquali, who advised me during my postgraduate studies with inspiring wisdom, not only embracing my projects, but also kindly respecting my ideas and decisions, and patiently guiding me through my doubts and after my stumbles. It is an honor to be an apprentice and a friend of such masters.vi Agradecimentos (Acknowledgements)Um doutoramento não é resultado apenas da dedicação individual do estudante. Nesse sentido, faço os seguintes agradecimentos. À Renata e ao Bartholomeu, pelo amor e companheirismo. Aos meus pais, que sempre se esforçaram para oferecer aos filhos e a outros familiares oportunidades para o desenvolvimento educacional e profissional. Aos meus irmãos, cunhados e ao restante da minha grande e querida família mineira. À Thaís, Dudu e Raphael, a quem espero inspirar em seguir a carreira acadêmica. Aos meus professores da Educação Básica, que me ensinaram a aprender e inspiraram minha predileção pela ciência, artes e filosofia. Gostaria de lembrar especialmente das professoras Laudiene, Eliana, Magda Table 3. The Six-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models ……………………………………………………………..……….… 127 Table 4. The Seven-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models ……………………………………………………….… 128 Table 5. The Fourteen-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models ………………………………………………………… 130 Table 6. The Fifteen-Topic Model with the 10 most relevant terms of the topics, reliability and presumed correspondence with other psycholexical models …………………………………………………………. 132 Table 7. User frequency or the number of users that used the term, overall term frequency in the corpus, inverse document frequency, mean, minimum, maximum, and range …………………………..… 147xii General AbstractThis dissertation consists of three studies concerning the lexical approach of research in the field of personality, with a focus on Brazilian culture and natural language. The first study is of a theoretical nature and explores some of the criticisms regarding the lexical approach to personality research with its origin in the psychological study of natural language and crosscultural psychology, as well as methodolo...

Personality adjectives in Serbian Tweets: An opening

“…According to the results obtained so far, apparently there is a substantial amount of semantically coherent personality information on Twitter, but it does not appear to straightforwardly represent the structure of personality dimensions from lexically-derived personality models (Peres, 2018;Roivainen, 2015aRoivainen, , 2015b. In a study of the frequencies of Openness adjective markers, Roivainen (2015b) pointed to flawedness in laypersons' personality assessment skills.…”

“…We opted to apply traditional psycholexical study methods to selfreferencing tweets, adopting elements of both Dutch and German approaches (Angleitner et al, 1990;Hofstee, 1990), as they have been used in the third psycholexical study in the Serbian language (De Raad et al, 2018). An analogous methodological strategy was first employed by Peres (2018), though without using adjective categorization, which did not exist in Brazilian Portuguese at the time. Hence, in a sense, one may regard this study as a tentative replication of the pioneer work in the field (Peres, 2018), though in a different language and cultural context.…”

“…An analogous methodological strategy was first employed by Peres (2018), though without using adjective categorization, which did not exist in Brazilian Portuguese at the time. Hence, in a sense, one may regard this study as a tentative replication of the pioneer work in the field (Peres, 2018), though in a different language and cultural context. We adopted Latent Dirichlet Allocation technique of topic modeling as the analysis applied in the referential study (Peres, 2018), whereby its advantages have been outlined in prediction research (Jaimes Moreno et al, 2019).…”

“…At the same time, traditional psycholexical studies' have so far almost exclusively utilized the data gathered by self-report or peer-report questionnaires, with a few exceptions across several decades (Cutler & Condon, 2022;Čolović & Filipović Đurđević, 2019;Fischer et al, 2020;Passakos & De Raad, 2009;Oljača et al, 2018;Peres, 2018;Roivainen, 2015bRoivainen, , 2015a. One may argue that the Twitter format is a challenge for personality researchers due to its specific features: brevity, extensive use of colloquial terms and slang, vast diversity of topics, frequent dialogue or polylogue form, richness of production, and others.…”

“…Recognizing Twitter as a valuable source of personality information, Peres (2018) has conducted a study on Brazilian Portuguese self-reporting tweets, applying the methodology adherent to traditional lexical hypothesis and using Latent Dirichlet Allocation (LDA, a topic modeling technique) as the primary analytic tool. Brazilian Portuguese adjective list was assembled and used along the descriptors embedded in the Big Five, HEXACO and Cattell's models.…”