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In the research trend of moving towards a fine-grained analysis of subjective and cognitive information, another interdisciplinary and promising research direction in text analysis, intentionality extraction, has recently attracted research interest. Intentionality denotes the process through which humans conceive future situations, plan actions, predict the sensory consequences of the action, and...
In the research field of natural language processing (NLP), sentence stands a very prominent position in text processing. The procedure of sentence processing acquires technologies at a higher level, such as computing the meaning of a sentence based on analysis of meanings of its individual words. This paper reviews several typical research works for statistical learning, highlights relevant cognitive...
Sentence parsing has a long history in the research fields of machine learning and natural language processing. The state-of-the-art technologies used to tackle this task include those based on statistical language learning. In the meantime, human sentence parsing has attracted massive research efforts for decades in the field of cognitive psychology. A range of behaviouristic experiments verify that...
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...
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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