Web Document Segmentation for Better Extraction of Information: A Review

Abstract

This paper reviews the problem of web page segmentation. According to the recent studies, there exist different approaches used to segment the web page into multiple blocks. Segmentation of web document is an essential step for many applications, such as text classifications, clustering, extraction of information and searching. The study provided full description for each approach and showed its contribution to the work area of research. Also the paper discusses the variance between these approaches, explaining the benefits and limitations of each one. In addition to that it explores most of the effective algorithms those based on these approaches and explains the application area of each algorithm.

Internet Web page content block dataset and solutions for its data labelling simplification

“…Segmentation of web pages and content extraction have been pivotal research areas for several years, given the exponential increase in information that necessitates processing. Numerous tactics have been devised to augment the efficiency and efficacy of data extraction and web segmentation tasks (Eldirdiery et al, 2015). This section elaborates on some of the most pertinent studies related to the proposed technique, emphasising block detection, content extraction, and the implementation of machine learning methodologies.…”