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poltextlab/xlm-roberta-large-pooled-cap-media2-v5
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-media1
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-minor-v3
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-media1-minor
Text Classification • Updated • 1.79k
poltextLAB PRO
poltextlab
AI & ML interests
dictionary-based algorithms, supervised and unsupervised learning, multimedia mining, data storage and retrieval, big data clustering techniques, tools for data visualization
Recent Activity
updated
a dataset
4 days ago
poltextlab/orchestrator-test-dataset
published
a model
5 days ago
poltextlab/ml19_v1
updated
a model
5 days ago
poltextlab/ml19_v1
Organizations
None yet
Emotion classification using 6-label and 9-label codebooks.
Classification using the Manifesto Project codebook.
Models for CAP classification with additional media codes.
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poltextlab/xlm-roberta-large-pooled-cap-media1
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-media1-minor
Text Classification • Updated • 1.79k -
poltextlab/xlm-roberta-large-pooled-cap-media2-v1
Text Classification • 0.6B • Updated • 1.24k -
poltextlab/xlm-roberta-large-pooled-cap-media2-v2
Text Classification • 0.6B • Updated • 1.24k
Sentiment classification using a simple 3-label codebook.
Policy topic classification using the Comparative Agendas Project (CAP) codebook.
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poltextlab/xlm-roberta-large-pooled-cap-media2-v5
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-media1
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-minor-v3
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-media1-minor
Text Classification • Updated • 1.79k
Models for CAP classification with additional media codes.
-
poltextlab/xlm-roberta-large-pooled-cap-media1
Text Classification • 0.6B • Updated • 1.23k -
poltextlab/xlm-roberta-large-pooled-cap-media1-minor
Text Classification • Updated • 1.79k -
poltextlab/xlm-roberta-large-pooled-cap-media2-v1
Text Classification • 0.6B • Updated • 1.24k -
poltextlab/xlm-roberta-large-pooled-cap-media2-v2
Text Classification • 0.6B • Updated • 1.24k
Emotion classification using 6-label and 9-label codebooks.
Sentiment classification using a simple 3-label codebook.
Classification using the Manifesto Project codebook.
Policy topic classification using the Comparative Agendas Project (CAP) codebook.