TopicSketch: Real-Time Bursty Topic Detection from Twitter
نویسندگان
چکیده
منابع مشابه
Real-time Topic Detection with Bursty N-grams
Twitter is becoming an ever more popular platform for discovering and sharing information about current events, both personal and global. The scale and diversity of messages makes the discovery and analysis of breaking news very challenging. Nonetheless, journalists and other news consumers are increasingly relying on tools to help them make sense of Twitter. Here, we describe a fully-automated...
متن کاملTime Series Topic Modeling and Bursty Topic Detection of Correlated News and Twitter
News and twitter are sometimes closely correlated, while sometimes each of them has quite independent flow of information, due to the difference of the concerns of their information sources. In order to effectively capture the nature of those two text streams, it is very important to model both their correlation and their difference. This paper first models their correlation by applying a time ...
متن کاملOnline Topic Modeling for Real-Time Twitter Search
This paper discusses the work done by a team at the University of Florida for the TREC 2011 Microblog Track. To build a real-time microblog search engine we rely on topic modeling for our search. To facilicate our algorithms we bundle similar tweets together in what we call supertweet generation. We perform online inference and offline inference depending on the time frame of the topical query....
متن کاملTwitterNews: Real time event detection from the Twitter data stream
Research in event detection from the Twitter streaming data has been gaining momentum in the last couple of years. Although such data is noisy and often contains misleading information, Twitter can be a rich source of information if harnessed properly. In this paper, we propose a scalable event detection system, TwitterNews, to detect and track newsworthy events in real time from Twitter. Twitt...
متن کاملSportSense: Real-Time Detection of NFL Game Events from Twitter
We report our experience in building a working system, SportSense, which exploits Twitter users as human sensors of the physical world to detect events in real-time. Using the US National Football League (NFL) games as a case study, we report in-depth measurement studies of the delay and post rate of tweets, and their dependence on other properties. We subsequently develop a novel event detecti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2016
ISSN: 1041-4347
DOI: 10.1109/tkde.2016.2556661