PPT-Empirical Study of Topic Modeling in Twitter

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 . scientific . papers and researchers on . Twitter: Results . of two studies. Stefanie . Haustein. , Timothy D. Bowman, Kim Holmberg, . Vincent Larivière, Isabella Peters, Cassidy R. Sugimoto, . & Mike . Microblogging. Behavior on Sina Weibo and Twitter. Qi. . Gao. Web . Information . Systems . Delft . University of . Technology. What we study: . microblogging. behavior. Wikipedia:Twitter. Wikipedia:Sina_Weibo. Hasan T Karaoglu. Outline. Introduction. Previous Work. Meme Tracking and News Cycles Presentation by Jure . Leskovic. Data Collection. Introduction. Traditional News . Who is the source ?. . iReport.com. M. Tech Project Presentation . By :. Pranay. . Agarwal. 2008CS50220. Guides :. Amitabha. . Bagchi. Maya . Ramanath. Introduction. Why twitter ?. Filter model for tweets. Social Graph construction. 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). part 1. Andrea Tagarelli. Univ. of Calabria, Italy. Statistical topic modeling. . (1/3). Key assumption: . text . data represented as a mixture . of . topics. , i.e., probability distributions . over . Name: Samer Al-Khateeb. I. nstructor. : Dr. . Xiaowei. . Xu. Class. : Information Science Principal/ Theory (IFSC 7321). Topic Modeling For Associated Press Articles Using Latent . Dirichlet. Allocation [LDA] . M. Tech Project Presentation . By :. Pranay. . Agarwal. 2008CS50220. Guides :. Amitabha. . Bagchi. Maya . Ramanath. Introduction. Why twitter ?. Filter model for tweets. Social Graph construction. 2. , Enxun Wei. 2. , Tai-. Quan. Peng. 3. , Shixia Liu. 2. , Jonathan . J. .H. Zhu. 4. , Huamin Qu. 1. …. …. …. Visual Analysis of . Topic Competition. 1 Hong Kong University of Science and Technology. Guha. . Data Science .  . Empirical . Modeling. Deep dives on some research topics. . Web scale structured data. . Teachable learning systems. The case for a `. Data Commons. ’. Outline. Models. Date. . :. . 2013/11/27. Source. . :. . CIKM’13. Advisor . : . Dr.Jia. -ling, . Koh. Speaker : Wei, Chang. 1. Outline. Introduction. Approach. Experiment. Conclusion. 2. Twitter. 3. What are they talking about?. It’s no secret that this world we live in can be pretty stressful sometimes. If you find yourself feeling out-of-sorts, pick up a book.According to a recent study, reading can significantly reduce stress levels. In as little as six minutes, you can reduce your stress levels by 68%. Approach. Derive new empirical parameters to represent (1) the dynamic evolution of SOAs in smog chambers as a function of NO. x. -dependent multigenerational chemistry and (2) losses of gases and particles to walls. Alan Ritter (UW). Colin Cherry (NRC). Bill Dolan (MSR). Twitter. Most of Twitter looks like this:. I want a . cuban. sandwich extra bad!!. About 10-20% are . replies. I 'm going to the beach this weekend! Woo! And I'll be there until Tuesday. Life is good. .