News web page classification using url content and structure attributes
The incentive for this work originates from the need of retrieving useful web news pages from the Indian news websites corpus. News web pages contrast from other web pages; it is mainly vital to recognize web news accurately for precise classification. We will likely locate a simple yet efficient technique to mine news articles from web corpus. To accomplish this task, the automatic recognition method has been recommended for news web page classification that uses classification rules based on a combination of content, structure and uniform resource locator (URL) attributes. We gathered news web documents from 10 different news websites. We use Naive Bayes algorithm to distinguish news articles from non news articles examples advertisements, not related links.
2016 2nd International Conference on Next Generation Computing Technologies (NGCT)