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With the rapid development of network information technology, the text is as a basic information carrier and begins to present exponential growth. The existing text classification methods haven't got information from the vast amounts of information resources timely and accurately. In order to solve the problem, the paper puts forward a new method about text categorization. It is a KNN algorithm based...
In text categorization, feature selection is an effective feature dimension-reduction methods. To solve the problems of unadaptable high original feature space dimension, too much irrelevance, data redundancy and difficulties in selecting a threshold, we propose an improved LAM feature selection algorithm (ILAMFS). Firstly, combining the gold segmentation and the LAM algorithm based on the characteristics...
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