摘要：We propose an algorithm which combines the advantage of classical vector space model to cluster the semantic texts.Those text having similar context words are taken as the semantic texts. So as to remove the deficiencies of the classical vector space model,which was not able to cluster such text, the concept of advanced of enhanced vector space model is proposed.It takes the concept of fuzzy set theory.The enhanced vector is obtained by adding the tf-idf with fuzzy membership value and perform the cosine operation in order to calculate the semantic distance between the text.
