A Comprehensive Study of Text Classification Algorithms

被引：0
|
作者：
Vijayan, Vikas K. [1 ]
Bindu, K. R. [1 ]
Parameswaran, Latha [1 ]
机构：
[1] Amrita Univ, Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Comp Sci & Engn, Coimbatore, Tamil Nadu, India
来源：
2017 INTERNATIONAL CONFERENCE ON ADVANCES IN COMPUTING, COMMUNICATIONS AND INFORMATICS (ICACCI) | 2017年
关键词：
Text Classification; KNN; Naive Bayes; Rocchio; SVM; Regression; Neural Network; Rule Based; Decision Tree;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Huge amount of data in today's world are stored in the form of electronic documents. Text mining is the process of extracting the information out of those textual documents. Text classification is the process of classifying text documents into fixed number of predefined classes. The application of text classification includes spam filtering, email routing, sentiment analysis, language identification etc. This paper discusses a detailed survey on the text classification process and various algorithms used in this field.
引用
收藏
页码：1109 / 1113
页数：5
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