[2017]Classification of Web Content by Category Generation in Social Life Logging

2018-02-22
조회수 1099

Abstract

Web content is consumed at anytime and anywhere through mobile devices. Consumption behavior has been affected by its own emotional content. Web content has been categorized by article’s topic and its emotion has beendetermined by article’s nuance. This study is to determine category and emotion of web content. The Automatic Content Categorization System (ACCS) has been developed to crawl the texts from web page and to separate texts into morpheme using natural language processing (NLP). Finally, web content was classified into category and emotion by document similarity. The main contribution of this study is to provide fixed categories and 28 emotions to classify web content for analyzing consumption behavior of web content.

Keywords

Life logging, Web content, Category, Emotion, Crawling, Natural language processing, Document similarity


Reference

Jo, Y., Kim, H., Lee, H., & Whang, M. (2017). Classification of Web Content by Category Generation in Social Life Logging. In Advances in Computer Science and Ubiquitous Computing, 1358-1363.