PPT-Predicting the News of Tomorrow Using Patterns

in Web Search Queries Kira Radinsky Sagie Davidovich Shaul Markovitch Computer Science Department Technion Israel Institute of technology Goal We find that changes in oil prices strongly predict future stock market . Use the . GEDAE. approach:. G. ood News. E. xplanation/ . D. etails. A. ction. E. cho Good News. Good News. Good News. Per employee request, casual dress policy has been approved for Fridays at Tempe Bank effective this Friday. . Predicting Punitiveness Although there are differences in the level of punitiveness of nations around the world, comparative studies of western nations usually reveal the United States as the most pun 1 tomorrow’s word Shapethe agenda Tomorrow’s word role of Tomorrow’s Word Re-evaluating the role of marketing agenda | tomorrow’s word Executive summary What’sroleprofession Predicting products. Based on the reactants alone, you should be able to . Predict the products. Write them correctly. Balance the final equation. There are some general guidelines to follow for each type of reaction. . How to do research in this new era. By: Tanya Phillips, RBSS. Remember this…... http://time.com/4485710/sugar-industry-heart-disease-research/. Harvard’s School of Public health, skewed research to minimize the effect of sugar on heart disease and point the finger toward cholesterol and fat.. Kurt Vonnegut . Jr. Basic Comprehension. Re-read the first sentence. How does it help set up your expectations as a reader?. What do you think of the ending? Does it change your opinion of Gramps? . Chicago is actually in Illinois, not Iowa. Why do you think this fact is wrong? What is Vonnegut suggesting? . beg 16. th. January 2017. 2016: can you name the event? . 2016: The Year of Bad news?. We are often bombarded with bad . news..but. did you know that:. Great Britain did better than it has ever done before at the Olympic Games in 2016. 28%. In The Past Year. 2:06. 2:07. 4:30. 4:27. 5:03. 6:28. 0:48. 1:14. 0:18. 0:22. 1%. -1%. 28%. 54%. 22%. Source: Nielsen Total Audience Report Q4 2016 – Adults 18 . National TV News (Nielsen National Television Panel, News summary type code, Broadcast – ABC, CBS, FOX, NBC, TEL, UNI; Cable – CNBC, CNN, FOXNC, MSNBC); Local TV News (Nielsen 25 LPM Markets, Local news genre, Broadcast – ABC, CBS, FOX, NBC, TEL, UNI); PC News (. “How long have I got, doc?”. . -not . a question with a simple . answer-. Aleksandra Filipovic MD PhD. Imperial College London. Health Insurance Society (Ireland). . April 14. th. 2016. Dublin, Ireland. Authors: Kyu . Han . Koh et. al.. Presented . by : . Ali Anwar. ABOUT ME. B.Sc. Electrical Engineering, University of Engineering and Technology Lahore, Pakistan. M.Sc. Computer Engineering. , University of Engineering and Technology Lahore, . "It's a fantastic way to increase [customer] affinity . if you get it right. And it's a fantastic way to lose customers if you get it wrong.". October 2017 in . Entertainment Weekly. From the 2013 Super Bowl, when a black out plunged the stadium into darkness.. Bias . using . Simple Textual . Analysis. Yuval Pinter . Shuki. Tausig Oren . Persico. Motivation / Hypotheses. Media is biased. Israeli media is super-biased. Machine Learning detects bias. Headlines could be enough. Adam Dobrodt, Donna Pistolis and Martha Vickery. History of Fake News. Benjamin Franklin. John Adams. Yellow Journalism. Hoaxes. Social Media and Fake News. Never in human history has more information been available to more people. But it’s also true that never in history has more . If news isn’t true, does that make it fake? . Where does it come from & why people share it?. Spotting the difference between real and false.. What is ‘Fake’ News?. BBC definition: . False .