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Filtering and Classifying Relevant Short Text with a Few Seed Words

, cancer, disease, healthy, nutrition, diet, hospital, physical, therapy, diagnosis, treatment, care, heart, fitness, medicine, food, symptoms, hepatitis, clinical 21.5 6.4 Politics Society political, democracy, party, government, republic, military, democratic, politics, united, president, parliamentary, freedom, national, congress, social, communist, revolution, parties, civil, presidential 18.7 4.2 Sports sports, football, games, game, tennis, match, league, espn, tickets, team, players, hockey, sport, olympic, basketball, golf, cup, volleyball

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An investigation on the evolution of diabetes data in social Q&A logs

changes in diabetics’ concerns. 3.1 Social Q&A log analysis The social Q&A log used in this study was from Yahoo! Answers. Yahoo! Answers is a website covering 26 main categories, in which people ask each other questions on a topic of interest, obtain answers, as well as share facts, opinions, and personal experiences. The Health category contains 10 subcategories, including Alternative Medicine, Dental, Diet & Fitness, Diseases & Conditions, General Health Care, Men’s Health, Mental Health, Optical, Other Health, and Women’s Health. Diabetes is a section under

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Implementation of a Linked Data-Based Genealogy Knowledge Service Platform for Digital Humanities

title, creator, edition, ancestor, clan temple title, or residence. Typical cases are the Oriental Library of the National Diet Library (NDL) in Japan, “Zhonghua Xungen Wang ( )” created by the National Library of China, and genealogy repositories collected by various domestic institutions, which, similar to the original genealogy database of Shanghai Library, do not support discovery of content and knowledge. This precious resource for humanities research has not been fully excavated by today’s genealogists. DH methods and technologies

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Big Data in Health Care: Applications and Challenges

.2 Big Data in public health and behavior Big Data in public health and behavior focuses on the physiological data of users that are often collected by portable equipment ( Yan, Y., Qin, X., Fan, J., & Wang, L., 2014 ), such as electrocardiogram, vitals, contagion, wearable device, daily health record, sports, and diet. Electrocardiogram is the electrical graph recording heartbeat activity of a person in a period of time, e.g., 1 minute; the recording process involves putting electrodes on the skin. Vitals, short for vital signs, include temperature, pulse

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