title: ETAT: Expository Text Analysis Tool.
abstract: Qualitative methods that analyze the coherence of expository texts not only are time consuming, but also present challenges in collecting data on coding reliability. We describe software that analyzes expository texts more rapidly and produces a notable level of objectivity. ETAT (Expository Text Analysis Tool) analyzes the coherence of expository texts. ETAT adopts a symbolic representational system, known as conceptual graph structures. ETAT follows three steps: segmentation of a text into nodes, classification of the unidentified nodes, and linking the nodes with relational arcs. ETAT automatically constructs a graph in the form of nodes and their interrelationships, along with various attendant statistics and information about noninterrelated, isolated nodes. ETAT was developed in Java, so it is compatible with virtually all computer systems.
authors.affiliation: Department of Educational Psychology, University of Valencia, Avda. Blasco Ibáñez, 21, 46010 Valencia, Spain. eduardo.vidal-abarca@uv.es
authors.forename: Eduardo
authors.initials: E
authors.lastname: Vidal-Abarca
authors.forename: Héctor
authors.initials: H
authors.lastname: Reyes
authors.forename: Ramiro
authors.initials: R
authors.lastname: Gilabert
authors.forename: Javier
authors.initials: J
authors.lastname: Calpe
authors.forename: Emilio
authors.initials: E
authors.lastname: Soria
authors.forename: Arthur C
authors.initials: AC
authors.lastname: Graesser
mesh_terms: D001185:Artificial Intelligence; D007255:Information Services; D008838:Microcomputers; D015588:Observer Variation; D011381:Programming Languages; D012984:Software; D015443:Word Processing / Q000295:instrumentation*; D014956:Writing