dariah.core package¶
Submodules¶
dariah.core.modeling module¶
dariah.topics.modeling¶
This module implements low-level LDA modeling functions.
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class
dariah.core.modeling.
LDA
(num_topics, num_iterations=1000, alpha=0.1, eta=0.01, random_state=None, mallet=None)¶ Bases:
object
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document_similarities
¶ Document similarity matrix.
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fit
(dtm)¶ Fit the LDA model.
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topic_document
¶ Topic-document distributions.
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topic_similarities
¶ Topic similarity matrix.
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topic_word
¶ Topic-word distributions.
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topics
¶ Topics with 200 top words.
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dariah.core.utils module¶
dariah.core.visualization module¶
dariah.topics.visualization¶
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class
dariah.core.visualization.
Vis
(model)¶ Bases:
object
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document
(name, color='grey', **kwargs)¶
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document_similarities
(cmap='Blues', annot=False, fmt='.2g', cbar=True, **kwargs)¶
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topic
(name, num_words=10, color='grey', **kwargs)¶
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topic_document
(cmap='Blues', annot=False, fmt='.2g', cbar=True, **kwargs)¶
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topic_similarities
(cmap='Blues', annot=False, fmt='.2g', cbar=True, **kwargs)¶
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topic_word
(words, cmap='Blues', annot=False, fmt='.2g', cbar=True, **kwargs)¶
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