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Banks   |   Last_name


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 Banks
NameCoref./Ref.
Marion
Federal Reserve
REO
Blount
US
Davis
Heatmap
Juxtapositions for Banks:

Historic (2004-11-01 to 2009-08-31)
Rank Entity Name Count Score Coref./Ref.
1 Marion 1801 21901.1
2 Federal Reserve 1777 19274.9
3 REO 1783 18932.1
4 Blount 1369 16874.4
5 US 1970 15446.3
6 Davis 1260 15136.7
7 U.S. 1932 14677.9
8 Purchase 1119 12925.3
9 Business Plan 1110 12863.6
10 Barbosa 902 12242.4
11 Bell 941 12112.7
12 Wall Street 1069 11157.6
13 Nash 816 10740.8
14 Bank 929 9877.2
15 Rs 1327 9784.1
365 days (2008-08-31 to 2009-08-31)
Rank Entity Name Count Score Coref./Ref.
1 Federal Reserve 1229 12035.0
2 US 1014 7327.9
3 TARP 692 7219.3
4 Associated Press 930 7117.5
5 Wall Street 732 6852.5
6 6 months 669 6469.7
7 U.S. 870 6211.5
8 AP 623 5775.9
9 Citigroup 465 5081.0
10 Treasury Department 444 5050.9
11 red 595 4843.4
12 unemployment 462 4737.3
13 PopularMost EmailedMost Read 446 4437.7
14 FDIC 417 4233.3
15 Rs 637 4158.5
30 days (2009-08-01 to 2009-08-31)
Rank Entity Name Count Score Coref./Ref.
1 5 years 220 2986.8
2 Chinese 220 2902.6
3 21 days 170 2767.7
4 AP 270 2753.0
5 AAA 160 2254.3
6 Nigerian 160 2222.9
7 5 days 160 2219.0
8 Islamist 160 2186.4
9 Treasury Department 130 1831.0
10 Federal Reserve 100 1401.9
11 Citigroup 90 1355.3
12 Colonial Bank 90 1350.9
13 TARP 90 1345.9
14 unemployment 80 1172.3
15 Pew Safe Credit Cards Project 70 1170.4
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 Banks:

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


Relational Network:


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Generated on 2nd September 2009 23:31
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