Title :
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
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;
Conference_Titel :
Computer Science and Information Processing (CSIP), 2012 International Conference on
Conference_Location :
Xi´an, Shaanxi
Print_ISBN :
978-1-4673-1410-7
DOI :
10.1109/CSIP.2012.6309124
