Extraction of Information from Web Page Using Content Mining Approach
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 2
Abstract
Today internet has made the life of human dependent on it. Almost everything and anything can be searched on net. The rapid growth of World Wide Web has been tremendous in recent years. With the large amount of information on the Internet, web pages have been the potential source of information retrieval and data mining technology such as commercial search engines, web mining applications. However, the web page as the main source of data consists of many parts which are not equally important. Besides the main contents, a web page also comprises of noisy parts that can degrade the performance of information retrieval applications. Thus cleaning the web pages before mining becomes critical for improving the mining results. In our work, we focuses on identifying and removing local noises in web pages to improve the performance of mining. The information contained in these non-content blocks can distract the user and also harm web mining So, it is important to separate the informative primary content blocks from non-informative blocks. So, we propose a system that remove various noise patterns from any web page. There are two steps, Web Page Segmentation and Informative Content Extraction, are needed to be carried out for Web Informative Content Extraction. We are going to analyze the web page and by using methods and algorithm we extract topic information requested by user.
Authors and Affiliations
Pranali Gatfane, Rani Tanpure, Anjali Masodkar, Vrushali Patil
Keywords
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