The Application of Naive Bayes Classifier in Name Disambiguation

被引：0

作者：

Li, Na ^{[1
]}

Han, Jin ^{[1
]}

机构：

[1] Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China

来源：

CLOUD COMPUTING AND SECURITY, PT II | 2017年 / 10603卷

关键词：

Naive Bayes classifier; Feature independence; Function words analysis; Name disambiguation;

D O I：

10.1007/978-3-319-68542-7_52

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Name repetition exists in the academic resource management system, which brings difficulties to academic evaluation, information retrieval, citation analysis and so on. According as different authors use function words in different habits, the Naive Bayes classifier was used to study in this paper. Based on the assumption of feature independence, this paper selects 26 common function words with high frequency as statistical frequency standard, use Naive Bayes classifier to classify texts. Experiments show that the method has a high accuracy rate.

引用

页码：611 / 618

页数：8

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