Trains a latent Dirichlet allocation model with scikit-learn using abstracts from Neurosynth.
View results
This DataFrame is very large, so we will only show a slice of it.
|
id |
study_id |
contrast_id |
Neurosynth_TFIDF__001 |
Neurosynth_TFIDF__01 |
Neurosynth_TFIDF__05 |
Neurosynth_TFIDF__10 |
Neurosynth_TFIDF__100 |
Neurosynth_TFIDF__11 |
Neurosynth_TFIDF__12 |
0 |
17029760-1 |
17029760 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
1 |
18760263-1 |
18760263 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
2 |
19162389-1 |
19162389 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.176321 |
0.0 |
3 |
19603407-1 |
19603407 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
4 |
20197097-1 |
20197097 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
5 |
22569543-1 |
22569543 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
6 |
22659444-1 |
22659444 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
7 |
23042731-1 |
23042731 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
8 |
23702412-1 |
23702412 |
1 |
0.0 |
0.0 |
0.0 |
0.061006 |
0.0 |
0.000000 |
0.0 |
9 |
24681401-1 |
24681401 |
1 |
0.0 |
0.0 |
0.0 |
0.000000 |
0.0 |
0.000000 |
0.0 |
Given that this DataFrame is very wide (many terms), we will transpose it before presenting it.
|
LDA5__1_human_functional_cognitive |
LDA5__2_identified_stimulation_brainmap |
LDA5__3_connectivity_functional_posterior |
LDA5__4_connectivity_macm_method |
LDA5__5_connectivity_functional_networks |
10 |
2.001000 |
0.001000 |
0.001000 |
0.001000 |
0.001000 |
abstract |
1.001236 |
0.001000 |
1.000764 |
0.001000 |
0.001000 |
action |
0.001000 |
0.001000 |
0.001000 |
2.001000 |
0.001000 |
active |
0.001000 |
1.001431 |
0.001000 |
2.001002 |
1.000567 |
addition |
1.001061 |
1.001843 |
1.000260 |
0.001000 |
2.000837 |
additionally |
0.001000 |
0.001000 |
1.001098 |
0.001000 |
1.000902 |
affective |
1.925169 |
0.001000 |
3.001129 |
0.001000 |
1.076702 |
affective processes |
0.001000 |
0.001000 |
2.001000 |
0.001000 |
0.001000 |
ale |
0.001000 |
0.001000 |
0.001000 |
0.001000 |
2.001000 |
altered |
0.001000 |
0.001000 |
0.001000 |
0.001000 |
4.001000 |
|
LDA5__1_human_functional_cognitive |
LDA5__2_identified_stimulation_brainmap |
LDA5__3_connectivity_functional_posterior |
LDA5__4_connectivity_macm_method |
LDA5__5_connectivity_functional_networks |
Token |
|
|
|
|
|
0 |
human |
identified |
connectivity |
connectivity |
connectivity |
1 |
functional |
stimulation |
functional |
macm |
functional |
2 |
cognitive |
brainmap |
posterior |
method |
networks |
3 |
cbp |
published |
task |
functional |
approaches |
4 |
connectivity |
using |
anterior |
methods |
structural |
5 |
functions |
prefrontal |
cortex |
connections |
functional networks |
6 |
frontal |
resting |
motor |
behavioral |
insula |
7 |
cortex |
use |
social |
prefrontal cortex |
anterior |
8 |
maps |
processes |
functional connectivity |
connectivity patterns |
correlations |
9 |
parcellation |
brodmann |
cognitive |
mapping |
macm |
Total running time of the script: (0 minutes 2.983 seconds)
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