An Algorithm for Detection of Cognitive Intentionality in Text Analysis

Intentionality is a cognitive concept applied by many researchers under different circumstances or backgrounds to explain how human beings engage the world so as to understand it well. In recent a couple years, research works of automatic text analysis have changed focus to more fine-grained analysis tasks with emphasis on text elements for subjective information. Intentionality detection is another creative and promising research direction in text analysis. This paper presents an innovative research effort focuses on cognitive intentionality, which belongs to the category of subjective information, and complement the current research works in automatic recognition and analysis of subjective information. The cognitive intentionality detection algorithm, CIDA, is composed with six key modules, event identification, syntactic parsing, elementary action extraction, lexical-semantic analysis, p-tree construction, and intentionality extraction. The experimental results have testified the efficiency and accuracy of CIDA.