TextMap
TextMap   :   TextMed   :   Textblg   :   TextBiz   :   Blog   :   Link to us   :   Help?
Afghans   |   Unknown


Relational Network
Reference Time Series
References Per Million vs. Moving Average
News Sector Distribution
Reference Share by Type News vs. Business vs. Entertainment vs. Sports vs. Other
Sentiment Analysis
Polarity Ranks vs. Subjectivity Ranks
Juxtapositions for Afghans
NameCoref./Ref.
Taliban
Afghanistan
U.S.
Hamid Karzai
Kabul, AFG
NATO
Heatmap
Juxtapositions for Afghans:

Historic (2004-11-01 to 2010-02-16)
Rank Entity Name Count Score Coref./Ref.
1 Taliban 30982 225933.6
2 Afghanistan 34087 220553.7
3 U.S. 25521 139844.2
4 Hamid Karzai 12445 110422.0
5 Kabul, AFG 9329 83868.3
6 NATO 8514 78501.0
7 Pakistan 7768 58184.7
8 Americans 5698 48479.9
9 Pakistanis 3582 37702.0
10 KABUL, AFG 3744 37159.7
11 US 4383 31255.3
12 Iraqis 3753 29912.2
13 Barack Obama 2901 28246.4
14 Kandahar 2980 27401.1
15 United States 3796 25613.7
365 days (2009-02-16 to 2010-02-16)
Rank Entity Name Count Score Coref./Ref.
1 Taliban 14461 111509.1
2 Afghanistan 12398 86192.2
3 U.S. 12972 77109.5
4 Hamid Karzai 6170 55988.0
5 NATO 4163 39522.1
6 Kabul, AFG 3629 35130.4
7 Americans 3176 27610.8
8 Barack Obama 2602 22933.3
9 Stanley McChrystal 1773 20409.3
10 Pakistanis 1491 16080.5
11 Pakistan 2012 16026.9
12 Helmand 1233 14437.2
13 British 1464 13960.4
14 American 1319 13660.5
15 US 1910 13642.1
30 days (2010-01-17 to 2010-02-16)
Rank Entity Name Count Score Coref./Ref.
1 Taliban 400 4012.0
2 Kabul, AFG 240 2687.6
3 U.S. 290 2578.8
4 NATO 230 2487.1
5 Afghanistan 250 2463.8
6 Americans 230 2408.7
7 Islamic 140 1914.6
8 Hamid Karzai 150 1751.5
9 United Nations 110 1481.1
10 Stanley McChrystal 110 1396.5
11 Helmand 90 1150.6
12 GDP 80 1069.9
13 Zaher 60 904.5
14 U.N. 70 866.1
15 Kamaluddin 60 809.8
Popularity Time Series:

References Per Million vs. Moving Average (log|linear)

Reference Share by Type News vs. Business vs. Entertainment vs. Sports vs. Other
Sentiment Analysis for Afghans:

Polarity Ranks vs. Subjectivity Ranks
Positive Raw Counts vs. Negative Raw Counts (log|linear)
Where is Afghans HOT?:


Relational Network:


Also known as: WHEN Afghans, TO Afghans, FOR AFGHANS, BY AFGHANS, Afghans., Afghans WILL, Afghans The, Afghans That, Afghans For, Afghans ARE, Afghans, AfghanS, Afghan-s, Afgha-ns, Af-ghans, AS AFGHANS, ARE AFGHANS, AFghans, AFGHANS.
Generated on 25th February 2010 06:58
About TextMap   :   Research Papers   :   TextMap Team   :   Disclaimer   :   Contact Us   :   TextMap Blog   :   General Sentiment
Copyright (c) 2009 The Research Foundation of State University of New York
Computer Science Department at Stony Brook University
Weblog Crawler Powered by Spinn3r