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Trends   |   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 Trends
NameCoref./Ref.
United States
cancer
England
Wales
Cardiovascular Disease
US
Heatmap
Juxtapositions for Trends:

Historic (1865-12-01 to 2009-12-20)
Rank Entity Name Count Score Coref./Ref.
1 United States 500 3068.0
2 cancer 494 1441.8
3 England 150 921.1
4 Wales 108 782.0
5 Cardiovascular Disease 76 767.1
6 US 92 732.9
7 Japan 148 727.7
8 U.S. 69 570.2
9 Australia 95 569.5
10 heart disease 90 565.6
11 HIV 104 563.8
12 myocardial infarction 99 538.6
13 asthma 103 527.2
14 Netherlands 81 525.9
15 Endocrinol 42 510.1
10 years (1999-12-23 to 2009-12-20)
Rank Entity Name Count Score Coref./Ref.
1 United States 260 1668.0
2 cancer 200 488.9
3 US 57 451.9
4 England 80 442.0
5 Cardiovascular Disease 45 439.5
6 U.S. 39 355.2
7 HIV 66 347.0
8 Wales 50 333.7
9 obesity 75 308.1
10 myocardial infarction 59 290.0
11 Japan 67 286.8
12 Spain 51 279.2
13 diabetes 72 269.3
14 stroke 60 255.5
15 breast cancer 52 245.6
365 days (2008-12-20 to 2009-12-20)
Rank Entity Name Count Score Coref./Ref.
1 United States 22 99.2
2 cancer 23 45.8
3 SEER Program 4 41.6
4 Iowa 4 35.1
5 Cognitive Sciences 3 30.4
6 Utah 3 30.2
7 jaundice 4 28.0
8 California 5 27.7
9 England 6 27.7
10 breast cancer 7 25.9
11 Central Uganda 2 25.8
12 SEER 3 25.7
13 diabetes 6 25.6
14 Surveillance 3 24.2
15 MeSH 2 23.0
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 Trends:

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


Relational Network:


Also known as: Trends, TRENDS.
Generated on 14th September 2009 18:57
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