Development of an Integrated framework for Web Content Analysis

Abstract

newline The enormous amount of information generated across the web through natural language newlinetext has created new opportunities and challenges in the area of Web Content Analysis newline(WCA) research. Due to the semi-structured and heterogeneous nature of the web, the newlineprocess of knowledge discovery has become a more complicated task. Furthermore, the newlineemergence of Web 2.0 and 3.0 and other similar technologies have led to the advent of newlinemany E-commerce and content-driven applications. As a consequence, a huge amount newlineof semantically rich text content is being composed and collected every day in the form of newlineopinions, comments, reviews, tweets, chats, news, discussions, etc. Investigating implicit newlineand prospective user patterns from a large collection of web data is beneficial for several newlineContent Analysis tasks, and it is a top-level strategy of many business firms nowadays. newlineHowever, mining interesting patterns from the collection of webpages pose many intellec- newlinetual challenges, as they differ in content, format, authorship, and reliability. Moreover, the newlinetemporal patterns of web data place an additional challenge for data processing. Hence, newlinethe peculiar characteristics of the web always trigger a need for the construction of inno- newlinevative techniques that identify patterns to model, store, retrieve, and efficiently manipulate. newlineNevertheless, the timely analysis of rich and dynamic web content is greatly useful con- newlinecerning many areas of research, including business, healthcare, education, campaignings, newlineand security. newlineIn this research work, the dynamic web content is studied as a distinct area of focus newlinefor Content Analysis, with special attention to handling User-Generated Content (UGC). newlineRegardless of emerging as a new topic, analysis of UGC has acquired much recognition newlinefrom the research community in the past few years. This work is an attempt towards further newlinestrengthen the research of WCA and address the ongoing challenges. Hence, this thesis newlineevidences a significant contribution to the attainment of several research