文章基本信息

标题：Implementation of Web Scraping on News Sites Using the Supervised Learning Method
本地全文：下载
作者：Dedy Rahman Prehanto ; Aries Dwi Indriyanti ; I Gusti Lanang Eka Prismana 等
期刊名称：Ilköğretim Online/Elementary Education Online
印刷版ISSN：1305-3515
电子版ISSN：1305-3515
出版年度：2021
卷号：20
期号：3
页码：432-441
DOI：10.17051/ilkonline.2021.03.43
语种：English
出版社：Öğretmen Eğitimi Akademisi
摘要：Indonesia is one of the highest internet users in the world, including in the penetration of information on the internet, online news media. But in general news sites not only display news information, but most sites also display other information such as advertisements and also forms of navigation that interfere with news site readers and interfere with reader’s comfort, from these problems this study aims to implement web scraping techniques with supervised learning methods and analyzing the form of DOM tree and XPath news sites. The supervised learning approach method is the method used in this study, which is one of the methods of machine learning. By combining these web scraping techniques with supervised learning, the aim is to be able to implement and optimize web scraping techniques to gather news information from various sites. To do basic web scraping namely knowing DOM patterns, XPath structure as a data model or selector at each site. The results of research in the form of a web scrap application that can retrieve news site content without copy paste and the data is stored in a database and displayed to the user application form for the reader without any ads and navigation that disturb the reader..
关键词：web scraping;supervised learning;XPath;DOM tree