Discovery of video websites based on machine learning

Author

Zhang, Chengqi ; Shang, Wenqian

Author_Institution

Dept. of Comput. Sci., Commun. Univ. of China, Beijing, China

fYear

2012

fDate

24-26 Aug. 2012

Firstpage

1396

Lastpage

1399

Abstract

The supervision of video websites has become extremely important with the rapid development of web, The first problem to overcome is automatically detecting of video websites. For the traditional limitations of artificial discrimination, this paper presents a video website discovery method based on machine learning. First we adopt a crawler to crawl video page description information, then we preprocess these text information. After these steps, we adopt a Naïve Bayes classifier to classify this text information. In addition, through the combination of sensitive words matching, we can realize the supervision of sensitive information.

Keywords

Bayes methods; Web sites; learning (artificial intelligence); pattern classification; text analysis; video signal processing; Naïve Bayes classifier; machine learning; sensitive words matching; text information; video Website discovery method; video page description information; Accuracy; Crawlers; YouTube; Text Classification; machine learning; naïve Bayesian algorithm; video websites;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Information Processing (CSIP), 2012 International Conference on

Conference_Location

Xi´an, Shaanxi

Print_ISBN

978-1-4673-1410-7

Type

conf

DOI

10.1109/CSIP.2012.6309124

Filename

6309124