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Most popular today Machel Cedenio and Paul Browne directly after him.
Machel Cedenio

1. Machel Cedenio

Top newspapers talking about Machel Cedenio

Wikipedia

St Hillaire injures hamstring in men's mile relay final
TT News day · about 4 years · 4
TT falter on third leg, place 8th in men's 4x400m final
TT News day · about 4 years · 10
TT men’s mile relay, cyclists chase elusive medal
TT News day · about 4 years · 6
Trinidad and Tobago advance to men’s 4x400m relay final
TT News day · about 4 years · 6
Too risky experimenting in 4x400m heats, says coach Carter
TT News day · about 4 years · 5

News count in Trinidad & Tobago

News number everyday from July 08 and for about 1 month
  • 0
    Post
  • 66
    Tweet
  • 0
    Video
  • 26
    Article
Paul Browne
2. Paul Browne
Deon Lendore
3. Deon Lendore
Denis Dmitriev
4. Denis Dmitriev
Ato Boldon
5. Ato Boldon
Nelson Mandela
6. Nelson Mandela
Kamla Persad Bissessar
7. Kamla Persad Bissessar
Jereem Richards
8. Jereem Richards
Brian Lewis
9. Brian Lewis
Michael Norman
10. Michael Norman
Robert De Niro
11. Robert De Niro
Peter O'Connor
12. Peter O'Connor
Mahatma Gandhi
13. Mahatma Gandhi
Uthman Muhammad
14. Uthman Muhammad
Rex Nettleford
15. Rex Nettleford
Justin Trudeau
16. Justin Trudeau
Bradley Last
17. Bradley Last
Liemarvin Bonevacia
18. Liemarvin Bonevacia
Michael Cherry
19. Michael Cherry
Eric Williams
20. Eric Williams
The Dream
21. The Dream
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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.