Text Understanding Complexity Measurement based on Human Concept Learning
   knowledge 

      This is a Display Demo for Text Understanding Complexity Measurement based on Human Concept Learning.This demo will offer users a more comprehensive search result according to the different degrees of users’ understanding. For example, to the understanding of the word “stomach”, an ordinary person is obviously different from a doctor. In this demo, based on the complexity measurement of text understanding we classify the comprehension into three classes: easy, middle and hard. Each user will get his/her required information that is consistent with his/her knowledge background according to the selection of text complexity. Furthermore, in this demo, users can also be better understood not only through the keywords they input but also through the association rules they select from the responses.

      Additionally, the data set of this demo is collected from reuter.com including 14627 pieces of news focusing on health area.

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