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Chapter 65
DOI: 10.4018/978-1-4666-8619-9.ch065
A Linguistic Approach to
Identify the Affective Dimension
Expressed in Textual Messages
ABSTRACT
The digital mediation resources used in Distance Education can hinder the teacher’s perception about
the student’s state of mind. However, the textual expression in natural language is widely encouraged in
most Distance Education courses, through the use of Virtual Learning Environments and other digital
tools. This fact has motivated research eforts in order to identify feelings expressed by students in textual
messages. A signifcant part of the known approaches in this area apply textual analysis without a deep
linguistic representation, which can lead to some weakness in the results obtained. This paper reports
an approach using theories of Computational Lexical Semantics for the representation of the lexicon of
emotion. The methodology was developed through studies regarding corpus analysis, lexical unit descrip-
tion, and the implementation of a computational system to identify the feelings expressed in the textual
messages in natural language, using the lexicon of emotion. This system was used in evaluation experi-
ments that indicate improvements when comparing the adopted approach with other similar approaches.
INTRODUCTION
The dynamics of digital mediation used in Dis-
tance Education (DE) generates contexts that can
drive to student isolation or little integration with
colleagues. However, the use of subsidies gener-
ated in this digital mediation interaction process
in Virtual Learning Environments (VLE) allows
the creation of resources that can promote closer
student-teacher relations. Some examples of these
situations are the use of the students’ textual
production and their interaction data in order to
Sandro José Rigo
University of Vale do Rio dos Sinos (UNISINOS), Brazil
Isa Mara da Rosa Alves
University of Vale do Rio dos Sinos (UNISINOS), Brazil
Jorge Luis Victória Barbosa
University of Vale do Rio dos Sinos (UNISINOS), Brazil