Paper: Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics

ACL ID P13-2101
Title Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2013
Authors

The growth of the Web 2.0 technologies has led to an explosion of social networking media sites. Among them, Twitter is the most popular service by far due to its ease for real- time sharing of information. It collects millions of tweets per day and monitors what people are talking about in the trending topics updated timely. Then the question is how users can understand a topic in a short time when they are frustrated with the overwhelming and unorganized tweets. In this paper, this problem is approached by sequential summarization which aims to produce a sequential summary, i.e., a series of chronologically ordered short sub- summaries that collectively provide a full story about topic development. Both the number and the content of sub-summaries are automatically identif...