`gensim.corpora.TextCorpus`¶

class gensim.corpora.TextCorpus(input=None)[source]¶

Helper class to simplify the pipeline of getting bag-of-words vectors (= a gensim corpus) from plain text.

This is an abstract base class: override the get_texts() and __len__() methods to match your particular input.

Given a filename (or a file-like object) in constructor, the corpus object will be automatically initialized with a dictionary in self.dictionary and will support the iter corpus method. You must only provide a correct get_texts implementation.

Methods¶

`__init__`([input])
`get_texts`()	Iterate over the collection, yielding one document at a time.
`getstream`()
`load`(fname[, mmap])	Load a previously saved object from file (also see save).
`save`(args, *kwargs)
`save_corpus`(fname, corpus[, id2word, metadata])	Save an existing corpus to disk.