Paper Title:Information Extraction from Microblog using Keyword Extraction and Clustering algorithms: A Survey


With the rapid development of the Internet, Microblog is becoming one of the most popular social network platforms. Microblogging e.g. Twitter has attracted millions of users to share and disseminate most up-to-date information, resulting in large volumes of data produced every day. The large quantum of information makes it necessary to find out methods and tools to summarize them. This survey paper tackles a comprehensive overview of the last update in this field. Many recently proposed keyword extraction and clustering algorithms and various enhancements are investigated and presented briefly in this survey.

Keywords:clustering algorithms, information extraction, keyword extraction, microblog