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SEMs   |   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 SEMs
NameCoref./Ref.
Nm
PUNs
TOMs
GM
RESULTS
poor metabolisers
Juxtapositions for SEMs:

Historic (1865-12-01 to 2009-12-20)
Rank Entity Name Count Score Coref./Ref.
1 Nm 6 82.2
2 PUNs 4 64.0
3 TOMs 4 64.0
4 GM 4 59.6
5 RESULTS 6 49.9
6 poor metabolisers 3 46.3
7 EMs 3 45.2
8 monkey 3 38.9
9 Structural 3 38.6
10 SEM 3 36.1
11 LaB6 2 33.4
12 EEG 3 33.3
13 ALSAQ-40 2 31.5
14 electro-oculograms 2 30.6
15 calving difficulty 2 30.1
10 years (1999-12-23 to 2009-12-20)
Rank Entity Name Count Score Coref./Ref.
1 Nm 6 77.5
2 PUNs 4 60.8
3 TOMs 4 60.8
4 GM 4 56.4
5 poor metabolisers 3 43.9
6 EMs 3 42.9
7 RESULTS 5 37.5
8 Structural 3 36.2
9 ALSAQ-40 2 30.0
10 electro-oculograms 2 29.0
11 calving difficulty 2 28.6
12 gestation length 2 28.6
13 SB 2 27.9
14 mercury 2 27.6
15 Theory 2 27.4
365 days (2008-12-20 to 2009-12-20)
Rank Entity Name Count Score Coref./Ref.
1 Nm 4 46.0
2 GM 4 44.4
3 Structural 3 27.2
4 calving difficulty 2 22.6
5 gestation length 2 22.6
6 SB 2 21.9
7 mercury 2 21.6
8 cattle 2 16.9
9 VI 1 10.7
10 Cr 1 9.8
11 0 0
12 0 0
13 0 0
14 0 0
15 0 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 SEMs:

Polarity Ranks vs. Subjectivity Ranks
Positive Raw Counts vs. Negative Raw Counts (log|linear)
Relational Network:


Also known as: Sems, SEMs., SEMs, SEMS, S.E.M.s.
Generated on 8th June 2009 23:41
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Computer Science Department at Stony Brook University
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