Text Classification using Clustering Techniques and PCA

被引：0

作者：

Kaur, Manpreet ^{[1
]}

Bansal, Meenakshi ^{[1
]}

机构：

[1] Yadwindra Coll Engn & Management, Dept CE, Talwandi Sabo, India

来源：

2016 FOURTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED AND GRID COMPUTING (PDGC) | 2016年

关键词：

Text classification; Support Vector Machine; Online Safety;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Social websites are the main part of the 21st century. Also, most of the generation is dependent on the social wcbsites for communication. Social media is the stages where everyone feels free to express their emotions. Content can be in form of image, text, video etc. In addition to this, these uploaded multimedia contents can also contain the abusive words or some abusive images that are not suitable in public interest. So this paper has presented various text classification algorithms.

引用

页码：642 / 646

页数：5

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