Survey Paper on Web Content Extraction Classification

摘要

Over the last few years, web data extraction has gained popularity. Product information on the Ecommerce website floods the internet with big data. Web-based business sites these days have gotten one of the most significant hotspots for getting a large amount of relevant data. Wide range of software application designs to extract relevant data from web pages in order to draw in more business. The extracted data can be used for retailer business and data analysis purposes. The web pages on such sites are based on different technologies, and the generated web documents are in structured or unstructured formats. Manually extract such relevant product data and multimedia type Information from the websites is complex and time-consuming. After extraction of data needs to be classified because web content contains unwanted data e.g. design information, advertising content. This paper describes different Procedures for web document classification and extraction.