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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...
Exploration of explicit and, especially, implicit information of customers is a vital task for industrial enterprises and organizations. Text and data mining are two indispensable means to accomplish above task. This paper presents a hybrid mining system, EIREx, which processes unstructured (text documents) and structured (data tables from databases) information as a whole source. The construction...
In previous research works, the causality generally refers to the existence of causality in mathematics and physics. In recent years, detection and clarification of cause-effect relationships, causality detection, among texts, events or objects has been elevated to a prominent research topic of natural and social sciences over the human knowledge development history. This paper demonstrates a causality...
Text clustering is an important task of text mining. The purpose of text clustering is grouping similar text documents together efficiently to meet human interests in information searching and understanding. The procedure of clustering should involve a cognitive process of text understanding or comprehension.This paper introduces an innovative research effort, CogHTC, a hierarchical text clustering...
Text categorization is an important research field within text mining. The initial objective of text categorization is to recognize, understand and organize various volumes of texts or documents. The general procedures of categorization are treated as supervised learning, from which the similarity can be inferred from a collection of categorized texts for training purpose. Obviously, the typical approaches...
Sentence parsing has a long research history in the fields of machine learning and natural language processing. The state-of-the-art techniques for tackling this task are mostly based on statistical language learning. How human parsing sentences is also an important research topic attracting research efforts for decades in the field of cognitive psychology. Some behavioristic experiments have convinced...
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