Topic Modeling

class orangecontrib.text.topics.LdaWrapper(**kwargs)[source]
__init__(**kwargs)[source]
fit(corpus, on_progress=<function dummy_callback>, **kwargs)

Train the model with the corpus.

Parameters

corpus (Corpus) – A corpus to learn topics from.

transform(corpus)

Create a table with topics representation.

class orangecontrib.text.topics.LsiWrapper(**kwargs)[source]
__init__(**kwargs)[source]
fit(corpus, on_progress=<function dummy_callback>, **kwargs)

Train the model with the corpus.

Parameters

corpus (Corpus) – A corpus to learn topics from.

transform(corpus)

Create a table with topics representation.

class orangecontrib.text.topics.HdpWrapper(**kwargs)[source]
__init__(**kwargs)
fit(corpus, on_progress=<function dummy_callback>, **kwargs)

Train the model with the corpus.

Parameters

corpus (Corpus) – A corpus to learn topics from.

transform(corpus)

Create a table with topics representation.