Timeline Generation for Progressive Tweet Stream

Abstract: Now a day�s use of twitter, face book such type of micro blogging services are increased. People post his services on this sites every day .Going through this millions of tweets are difficult because that tweets contains redundancy and noise. This paper consider continuous arriving tweet stream to generate timeline. Timeline is a way of displaying a list of event in chronological order. To generate a timeline first require to cluster all tweet stream of related topic then summarize that tweet stream by continuous summarization and then generate timeline automatically from tweet stream. In traditional method dates of summaries are already pre-defined to produce timeline. In this paper timeline discovers changing dates and topic changes and generate timelines dynamically during the process of continuous summarization. This paper focus on efficiency and scalability factors.

Keywords: continuous summarization, tweet stream, timeline, summary.