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For feature subset optimization problems in text categorization, the GATS strategy which combines the genetic algorithm with taboo search algorithm is proposed in this paper to be applied to text categorization to realize the dimensionality reduction of the feature space. The experiments show that the application of this method to select the characteristics of the text can not only maintain the advantages...
The inadequacy of the information gain is taken into account the situation that the term does not appear. But, in this paper, by analyzing the distribution information of terms, we find if the value of distribution information inside a class of the term becomes large, the distribution of the term inclines to imbalance, and if there is high imbalance of the term, the distribution information among...
Text classification has received extensive attention in recent years, which is an important means of data mining. This paper analyzed basic theory and general structure of text classification, given a text classification method based on improved genetic algorithms, introduced simulated annealing mechanism of genetic algorithm to solve the precocious easy, local optimum, and so on, using the Roocchio...
Feature selection is a valid method to reduce the dimension of vector in text categorization system. After analyzed several common evaluation functions for feature selection, we applied terms weight function to feature selection. A new evaluation function based on improved TFIDF method is presented; in this function the category information is introduced to feature items, and the feature items of...
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