The Research on Automatic Construction Techniques of Large-Scale Corpus for Chinese Text Categorization
Yan Hu, Wei Wu, Miao Miao · 2009
Large-scale corpus contains abundant language phenomenon. It can reflect the universal law of language use and has drawn the interest of many countries in the field of information technology and linguistics circle. It has become a hot topic in the field of natural language processing. But based on the current scarcity of Chinese corpus, especially in the field of text categorization, the Chinese categorization corpus is especially rare. Today the text categorization has become the core and foundation of large-scale data processing applications. The lagging of corpus research has become the obstruction of information technology development. Therefore, by analyzing the characteristics of Chinese categorization corpus, combining with Internet which is the largest knowledge base at present and depending on the search capability of search engines, this paper proposes and realizes a kind of algorithm on large-scale corpus for Chinese text categorization. Experiments show that the corpus constructed by this algorithm performance well in various classifiers. It has a certain practical value.