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Active learning experiments for the classification of smoking tweets
Aki Härmä
, Andrey Polyakov
, Ekaterina Chernyak
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Conference article in journal
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peer-review
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Keyphrases
Active Learning
100%
Tweets
100%
Learning Experiment
100%
Active Learning Algorithm
100%
Personal Healthcare
50%
Dynamic Environment
50%
Health Care Services
50%
Realistic Tests
50%
Care Needs
50%
Service-oriented
50%
Classification Task
50%
Text Classification
50%
Machine Learning Techniques
50%
Health Behavior Change
50%
Annotated Dataset
50%
Voice User Interface
50%
Text Analysis
50%
Text Classifier
50%
Text Interface
50%
INIS
learning
100%
classification
100%
algorithms
66%
data
66%
therapy
33%
applications
33%
performance
33%
dynamics
33%
environment
33%
attitudes
33%
interfaces
33%
health services
33%
machine learning
33%
Computer Science
Active Learning
100%
Learning Algorithm
66%
Classification Task
33%
Dynamic Environment
33%
Good Performance
33%
Health Behavior Change
33%
Text Classification
33%
Machine Learning
33%
Learning System
33%
Health Care
33%