Skip to main content
WorldCist'18 - 6th World Conference on Information Systems and Technologies

Full Program »

Increasing authorship identification through emotional analysis

Writing style is considered the manner how an author express his thoughts, influenced by language characteristics of an individual, period, school, or nation. Most of the times, this writing style can identify the author. Yet, one of the most famous examples comes from Portuguese literature, with Fernando Pessoa and his heteronyms Alberto Caeiro, Álvaro de Campos and Ricardo Reis, who had completely different writing styles and led people to believe that they were different individuals.

Today, with social networks, thousands of messages are shared between people, making these messages reach an audience exponentially larger, and thus, highlighting the name of its author. Thus, concern about associating messages with incorrect authors also increases at the same rate.

Although there are several alternatives to identify authors of text, current solutions do not take into account the author's emotional profile.

This paper is about a process to analyse the emotion contained in social media messages as Facebook in order to identify the author's emotional profile and use it to increase the ability to predict the authors of the messages.

Ricardo Martins
University of Minho
Portugal

José Almeida
University of Minho
Portugal

Pedro Henriques
University of Minho
Portugal

Paulo Novais
University of Minho
Portugal

 

Powered by OpenConf®
Copyright ©2002-2017 Zakon Group LLC