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Prepoznavanje čustev na Twitterju
Published on Dec 05, 20171104 Views
Ste kdaj želeli prepoznavati čustva v tvitih, pa je teh bilo preveč za ročno pregledovanje? Bi vam koristilo, če bi računalnik sam znal ugotoviti, ali je bil nekdo jezen ali vesel, ko je nekaj zapisal
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Chapter list
Outline00:12
The problem01:05
The task01:47
The training data - 104:07
The training data - 205:52
Content filtering08:09
# depth filtering08:37
The training data - 308:53
Class distributions11:08
From text to features - 111:24
From text to features - 212:52
Results bow models13:18
From text to features16:27
DL architecture22:04
Results DL23:02
Transfer27:59
How to train unison? - 133:04
Common model - unison34:29
Alternate batches strategy34:42
How to train unison? - 235:07
Weighted sampling batches strategy35:40
Weighted sampling batches sampling probabilites35:58
Unison results36:55
T-SNE on char embeddings39:20
Take-away messages40:33