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Newspapers are talking about By Surprise, Nicola Willis, Martin James and others.
By Surprise

1. By Surprise

Top newspapers talking about By Surprise

By Surprise may refer to: Wikipedia

Parents stunned as childcare centres shut suddenly; firms in receivership
Otago Daily Times · over 2 years
Parents stunned as childcare centres shut suddenly; firms in receivership
Southland Express · over 2 years
Parents stunned as child care centres shut suddenly; firms in receivership
Otago Daily Times · over 2 years
Parents stunned as childcare centres shut suddenly; firms in receivership
Otago Daily Times · over 2 years
Christchurch Hospital experiencing 'unprecedented high demand'
Otago Daily Times · about 3 years

News count in New Zealand

News number everyday from February 14 and for about 1 month
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  • 9
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  • 233
    Article
Nicola Willis
2. Nicola Willis
Martin James
3. Martin James
Chris Baillie
4. Chris Baillie
Tim Shadbolt
5. Tim Shadbolt
Wayne Brown
6. Wayne Brown
Helen Kennedy
7. Helen Kennedy
Shane Reti
8. Shane Reti
Rishi Sunak
9. Rishi Sunak
Roald Dahl
10. Roald Dahl
Elton John
11. Elton John
David Seymour
12. David Seymour
James Mckenzie
13. James Mckenzie
Paul Smart
14. Paul Smart
Geoff Hamilton
15. Geoff Hamilton
Stuart Smith
16. Stuart Smith
The Politicians
17. The Politicians
Barry Curtis
18. Barry Curtis
Peter Thomson
19. Peter Thomson
Nate Turner
20. Nate Turner
Derrick Walton
21. Derrick Walton
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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

who is popular today © 2025
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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.