`gensim.models.Phrases`¶

class gensim.models.Phrases(sentences=None, min_count=5, threshold=10.0, max_vocab_size=40000000, delimiter='_')[source]¶

Detect phrases, based on collected collocation counts. Adjacent words that appear together more frequently than expected are joined together with the _ character.

It can be used to generate phrases on the fly, using the phrases[sentence] and phrases[corpus] syntax.

Methods¶

`__init__`([sentences, min_count, threshold, ...])	Initialize the model from an iterable of sentences.
`add_vocab`(sentences)	Merge the collected counts vocab into this phrase detector.
`export_phrases`(sentences)	Generate an iterator that contains all phrases in given ‘sentences’
`learn_vocab`(sentences, max_vocab_size[, ...])	Collect unigram/bigram counts from the sentences iterable.
`load`(fname[, mmap])	Load a previously saved object from file (also see save).
`save`(fname_or_handle[, separately, ...])	Save the object to file (also see load).