PPT-# of TV-Related Tweets
Author : sherrill-nordquist | Published Date : 2016-08-08
1Q3Q 2012 vs 1Q3Q 2015 Viewers Passion for Professional Premium Content is Evident Through Social Media There are approximately One Billion TVrelated tweets annually
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# of TV-Related Tweets: Transcript
1Q3Q 2012 vs 1Q3Q 2015 Viewers Passion for Professional Premium Content is Evident Through Social Media There are approximately One Billion TVrelated tweets annually and growing. Analyzing Tweets for Real-Time Event Detection. Takehi. . Sakaki. Makoto Okazaki Yutaka Matsuo. @. tksakaki. @okazaki117 @. ymatsuo. . the University of Tokyo. Introduction. Liangjie Hong. and Brian D. Davison. Computer Science and Engineering. Lehigh University. Bethlehem, PA USA. SOMA 2010 . Why. . we care about text modeling in Twitter ?. SOMA 2010 . Why. . we care about text modeling in Twitter ?. M. Tech Project Presentation . By :. Pranay. . Agarwal. 2008CS50220. Guides :. Amitabha. . Bagchi. Maya . Ramanath. Introduction. Why twitter ?. Filter model for tweets. Social Graph construction. By Kim Holmberg. http://kimholmberg.fi. /. Removing Retweets. Collect the tweets (. for how to collect tweets, see . http://lexiurl.wlv.ac.uk/searcher/twitter.htm. ). and then remove retweets, as these can be argued to not indicate conversations between Twitter users. . Summary. Question: . Do MPs use twitter to engage with young voters and encourage them to vote. ?. Answer. : . Some MPs (and . panel activists. ) . do. Labour. seem more active on this front. . Most stick to key messages (not twitter specific). To Twitter or Not to Twitter That is the Question.. . WHAT IS TWITTER?. Twitter is what is known as a . microblogging. service, an online place where you can 'post' short messages, or '. tweets. ' of 140 characters (including spaces). These 'tweets' can be read by anyone who is 'following' you (essentially, subscribing to your tweets). Similarly, you can follow (subscribe) to the tweets of anyone you want, from friends and family to favorite celebrities, publications and Web sites (like . digitales. Análisis de redes sociales online y minería de texto para las ciencias sociales. Camilo Cristancho. camilo.cristancho@uab.cat. . Día 1. Obtención . de datos estructurados. Consideraciones . in . Social Media. Anupam Joshi. Oros. Family . Professor and Chair, CSEE. Director, UMBC Center for Cybersecurity. University of Maryland Baltimore . County. joshi@umbc.edu. Power of Social Media. 2. Missteps and Milestones Using Twitter in the Classroom. Mary T. Rogus. Ohio University. @. MTRogus. Television News Producing class. Very difficult to give students practice in breaking news. Twitter offered way to simulate breaking news. Twitter . A Behavioral Modeling . Approach. Ashwin. . Rajadesingan. , Reza Zafarani, and . Huan. . Liu. Sarcasm. . . a . nuanced form of language where usually, the user explicitly states the opposite of what she implies. . digitales. Análisis de redes sociales online y minería de texto para las ciencias sociales. Camilo Cristancho. camilo.cristancho@uab.cat. . Día 1. Obtención . de datos estructurados. Consideraciones . o. n Twitter for a . L. ocal . C. ity. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6150078. Speaker: Chen Zhang. Oct 16, 2015. Society of tourism informatics. Tourism is main industry for some local cities. Rebecca Himberger. 1. , BS. Royce Kimmons. 2. , PhD., Shayna Coburn. 3. , PhD., Monique Germone. 1. Ph.D., BCBA. 1. Children’s Hospital Colorado at Anschutz Medical Campus, . 2. Brigham Young University, . RETROSPECTIVE ANALYSIS AND INFOVEILLANCE OF NICOTINE SICKNESS/NIC SICK TWEETS. Vidya Purushothaman, MBBS, MAS, MPH. 1,2. , Tiana McMann, MA. 1,3. , Matthew Nali, BA. 1,2,4. , . Zhuoran. Li, MS. 1,3,4.
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