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Ding Dang

Ding Dang

Wikipedia

News number everyday from October 25 and for about 1 month
Who are the most relevant to Ding Dang?
Top newspapers talking about Ding Dang
November 10, 2020
As California nears 1 million coronavirus cases, Thanksgiving threatens new super spreading danger
LA Times · almost 5 years
As California nears 1 million coronavirus cases, Thanksgiving threatens new super spreading danger
LA Times · almost 5 years
September 30, 2020
Editorial Roundup Florida
Washington Times · almost 5 years · 2
Letters Law falls short Saratoga schools Climate change toll Building walls ACA threatened Misunderstanding danger
The Mercury · almost 5 years
July 17, 2020
Over 100 Houston doctors slam Rep. Dan Crenshaw for “spreading dangerous disinformation” on coronavirus by
The Intercept · about 5 years · 2
Over 100 Houston Doctors Slam Rep. Dan Crenshaw for “Spreading Dangerous Disinformation” on Coronavirus
The Intercept · about 5 years · 2
March 16, 2020
The Trump administration is urging people to work from home. What about the federal government?
Washington Post · over 5 years
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مصر
🇸🇦
السعودية
🇶🇦
قطر
🇦🇪
الإمارات
🇰🇼
الكويت
🇲🇦
المغرب
🇮🇶
العراق
🇯🇴
الأردن
🇸🇾
سوريا
🇱🇧
لبنان
🇾🇪
اليمن
🇸🇩
السودان
🇱🇾
ليبيا
🇹🇳
تونس
🇩🇿
الجزائر
🇧🇭
البحرين
🇴🇲
عمان
🇲🇷
موريتانيا
🇸🇴
الصومال
🇵🇸
فلسطين
🇺🇸
United states
🇿🇦
South Africa
🇬🇧
United kingdom
🇦🇺
Australia
🇨🇦
Canada
🇧🇸
The Bahamas
🇧🇧
Barbados
🇧🇿
Belize
🇩🇲
Dominica
🇬🇩
Grenada
🇬🇾
Guyana
🇮🇪
Ireland
🇯🇲
Jamaica
🇱🇨
Saint Lucia
🇻🇨
St Vincent & Grenadines
🇰🇳
St Kitts & Nevis
🇹🇹
Trinidad & Tobago
🇳🇿
New Zealand

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Who is popular today, a project that regularly archives news and public figures from the Wikipedia, then links current events with public figures, and then comes the statistics, information extraction and patterns recognision. The project aims primarily at analyzing news to extract information and linking it more favorably to the reader, instead of reading the news randomly. The other goal is to archive news as profiles for public figures, making them a permanent reference for researchers. The project depends on some of the links between the unstructured texts (news) and entities (people) through the analysis of text and the approach with the names of public figures, in addition to some of the process of identifying the images of the characters through the news in which it was mentioned.