From: The first step in the development of text mining technology for cancer risk assessment: identifying and organizing scientific evidence in risk assessment literature
Distribution of abstracts per class freq. range
Change in F
Σ Classes
20-100
100 - 200
200 - 1100
Δ F > 1%
16 (43%)
75%
33%
8%
|Δ F | ≤ 1%
15 (41%)
6%
44%
Δ F < -1%
6 (16%)
19%
17%