CSE 634 – Data Mining: Text Mining Group # 8 Presenters: Munyaradzi Chiwara Mahmoud Al-Ayyoub Mohammad Sajjad Hossain Rajan Gupta Professor Anita Wasilewska Outline of…

1. GRAMMARPrepared by :SYED SHAFQAT HUSSAINZAIDI 2. ANGUAGE is the shared knowledge of sounds, words, meanings and grammatical rules that people use to send and receive messages.•…

1. LACK OF A THEORETICAL FRAMEWORK IN CALL MATERIALS 2. Lack of a theoretical framework Lack of guidelines for CALL materials Result : Teachers don’t have a conceptual…

1. University of Northampton 2. Greenfoot Exercises – Edge follower 3. Greenfoot Exercise – Line follower 4. Interactive TV James Smith  A prototype system to enable…

1. Maximizing the Utility of Small Training Sets in Machine Learning Raymond J. Mooney Department of Computer Sciences University of Texas at Austin 2. Computational Linguistics…

1. Statistische Methoden in der Computerlinguistik Statistical Methods in Computational Linguistics 7. Machine LearningJonas Kuhn Universität Potsdam, 2007 2. Addition:…

1. Penguins in Sweaters, or Serendipitous Entity Search on User-generated-Content chenwq 2014/04/16 Mounia Lalmas et al. (Yahoo! Labs, CIKM 2013 Best Paper ) 2. Mounia Lalmas…

1. Web MiningLee-Feng Chien ( 簡立峰 ) http:// wkd.iis.sinica.edu.tw/~webmining / 2. Web Search Millions of Users Web logs, texts, images,… Search Engine Information…

1. What’s in a Name?Linguistics demystifiedfor brandsCreating and managingbrand valueTM 2. Interbrand | Pg. 1What’s in a Name?Linguistics demystified for brandsBy Paola…

1. The CORFU technique | MTSR 2013Towards a stepwise method for unifying and reconciling corporate names in public contracts metadata. The CORFU technique. Michalis Vafopoulos…