Research on Classification of Chinese Text Data Based on SVM

2017 2nd International Seminar on Advances in Materials Science and Engineering

Lin, Yuan^1 ; Yu, Hongzhi^1 ; Wan, Fucheng^1 ; Xu, Tao^1

Northwest Minzu University, National Languages Information Technology Research Institute, Lanzhou city, Gansu province, China^1

关键词: Chinese text;    Classification methods;    Classification performance;    Machine learning research;    Support vector machine method;    Text classification;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/231/1/012067/pdf
DOI  :  10.1088/1757-899X/231/1/012067

来源: IOP

【 摘 要 】

Data Mining has important application value in today's industry and academia. Text classification is a very important technology in data mining. At present, there are many mature algorithms for text classification. KNN, NB, AB, SVM, decision tree and other classification methods all show good classification performance. Support Vector Machine' (SVM) classification method is a good classifier in machine learning research. This paper will study the classification effect based on the SVM method in the Chinese text data, and use the support vector machine method in the chinese text to achieve the classify chinese text, and to able to combination of academia and practical application.