Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/23264
Author(s): | Jusupova, A. Batista, F. Ribeiro, R. |
Editor: | Azevedo, A., Sarmento, A., e Rodrigues, L. S. |
Date: | 2016 |
Title: | Characterizing the personality of Twitter users based on their timeline information |
Pages: | 292 - 299 |
Event title: | 16ª Conferência da Associação Portuguesa de Sistemas de Informação (CAPSI’2016) |
ISSN: | 2183-489X |
DOI (Digital Object Identifier): | 10.18803/capsi.v16.292-299 |
Keywords: | Personality traits Twitter user profile Portuguese Twitter users Sentiment analysis |
Abstract: | Personality is a set of characteristics that differentiate a person from others. It can be identified by the words that people use in conversations or in publications that they do in social networks. Most existing work focuses on personality prediction analyzing English texts. In this study we analyzed publications of the Portuguese users of the social network Twitter. Taking into account the difficulties in sentiment classification that can be caused by the 140 character limit imposed on tweets, we decided to use different features and methods such as the quantity of followers, friends, locations, publication times, etc. to get a more precise picture of a personality. In this paper, we present methods by which the personality of a user can be predicted without any effort from the Twitter users. The personality can be accurately predicted through the publicly available information on Twitter profiles. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | CTI-CRN - Comunicações a conferências nacionais |
Files in This Item:
File | Description | Size | Format | |
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conferenceobject_30881.pdf | Versão Editora | 218,9 kB | Adobe PDF | View/Open |
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