A Study On Category Conception In Text Classification

The development of network and the opening of the Internet make it a omnidirectional resource storehouse step by step. More and more information are delivering to everywhere of the world, and more and more information are congregated in internet. At the viewpoint of developmental trend, network will be the main source from which people get information. But the Internet's organization is very disordered, the information's hugeness and confusion make it more and more difficult to get interesting information from it.The task of data mining is mining useful information from a mass of data. Text's mining is becoming one of the focuses of data mining with the rapid development of the Internet because that text is the main information carrier of web pages. The text classification is the base and center of text's mining.Text classification include manual method and automatic method. Conventional text classification based on manual mode has a lot of shortcomings, such as long period, high charge, low efficiency, the requirement of large numbers of professional people and low consistency of the results et. The automatic method of text classification based on machine learning was becoming mainstream after 1990s stage by stage. Compared with manual, it has short period, high efficiency, and high consistency of the results. Though automatic text classification has so many merits, the accuracy of its results is not satisfied till now. Text classification gets a wide stage in the age of the information in Internet increasing rapidly. It is confronted with opportunities and challenges, and the study focuses how to improve the accuracy of the text classification result.