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Tweets

Natural Language Processing to the Rescue?: Extracting ...

communicated via computer-mediated communication. Our assumption is that immediate, dynamic culling of tweets with information pertaining to situational awareness could be used to inform and update applications aimed at helping members of the public, formal response agencies, aid organizations ...

Smoothing Techniques for Adaptive Online Language Models ...

eschew sophisticated models and start from the simplest technique that can possibly work. In this paper, we use simple language models (LMs) that are trained usinghashtags contained in a small fraction of tweets, which serve as proxies for topic labels.

Named EntityRecognition in Tweets: An Experimental Study

Named EntityRecognition in Tweets: An Experimental Study Alan Ritter, Sam Clark, Mausamand Oren Etzioni Computer Science and Engineering University of Washington Seattle, WA 98125, USA faritter,ssclark, mausam,etzionig@cs.washington.edu Abstract People tweet more than 100 Million times daily ...

Citation Analysis in Twitter: Approaches for Defining and ...

Citation Analysis in Twitter: Approaches for Defining and Measuring Information Flows within Tweets during Scientific Conferences Katrin Weller 1, Evelyn Dröge 1 and Cornelius Puschmann 2, Heinrich-Heine-University Düsseldorf, 1 Dept. of Information Science & 2 Dept. for English Language and ...

Tweet, Tweet, Retweet: Conversational Aspects of Retweeting ...

Still others simply do not retweet messages that would necessitate some kind of shortening (e.g., @eslchill: Tweets of 130+ characters are too long to be RTed ).

Mapping Tweets to Conference Talks: A Goldmine for Semantics

Mapping Tweets to Conference Talks: A Goldmine for Semantics Milan Stankovic 1,3, Matthew Rowe 2, Philippe Laublet 3 1 Hypios Research, 187 rue du Temple, 75003 Paris, France 2 Knowledge Media Institute, The Open University, Milton Keynes MK7 6AA, UK 3 STIH, Université Paris-Sorbonne, 28 rue ...

TWITTERIGHT: FINDING PROTECTION IN 140 CHARACTERS OR LESS

According to one estimate, in the days following the disaster in Haiti, forty new tweets containing the word "Haiti" were posted to twitter every five seconds.

TI: An Efficient Indexing Mechanism for Real-Time Search on ...

TI: An Efficient Indexing Mechanism for Real-Time Search on Tweets ∗ Chun Chen #1, Feng Li §2, Beng Chin Ooi §3, Sai Wu §4 # College of Computer Science, Zhejiang University, China, 321100

TwitterStand: News in Tweets

TwitterStand: News in Tweets Jagan Sankaranarayanan y jagan@cs.umd.edu Hanan Same t y hjs@cs.umd.edu BenjaminE. Teitler y bteitler@cs.umd.edu MichaelD. Lieberman y codepoet@cs.umd.edu Jon Sperlin g z Jon.Sperling@hud.gov ABSTRACT Twitter is an electronic medium that allowsalargeuserp op-ulaceto ...

Robust Sentiment Detection on Twitter from Biased and Noisy Data

Robust Sentiment Detection on Twitter from Biased and Noisy Data Luciano Barbosa A T&TLabs-Research lbarbosa@research.att.com Junlan Feng A T&TLabs-Research junlan@research. att.com Abstract In this paper, we propose an approach to automatically detect sentiments on Twit-termessages (tweets ...