Comments (2)
Open the text file, create a dict with this file and give it and id if you want and dump it to a json, this way if you have a bunch of text files json_iter will handle them. Would it be easier to use a .txt file or glob imo.
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Check the v2.0.0 release, which now runs as a spaCy extension. Any input format acceptable for spaCy should work fine.
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Related Issues (20)
- Biased Textrank implementation uses phrases instead of sentences HOT 4
- Information about the matrix similarity HOT 2
- NotImplementedError: [E894] The 'noun_chunks' syntax iterator is not implemented for language 'ru'. HOT 8
- Silence of the Lambs HOT 1
- ZeroDivisionError: division by zero in _calc_discounted_normalised_rank HOT 2
- Cannot use stopwords in PyTextRank HOT 3
- Demo: Term Weighting for Document Similarity Testing HOT 1
- Is `biasedtextrank` implemented? HOT 4
- Is it possible to integrate Pytextrank with Flair NLP engine HOT 1
- "ValueError: [E002] Can't find factory for 'textrank' for language English (en)." - incompatibility with SpaCy 3.3.1? HOT 1
- suggestion: allow "wildcard" POS for stopwords
- Doesn't work for Dutch language HOT 1
- DiGraph instead of Graph HOT 2
- Is handling of singular / plural forms ('sentence' and 'sentences') correct / consistent? HOT 3
- Bugfix for scrubber sample code which fails when scrubbing "two" HOT 2
- Update Sample Usage document: stop words must be lowercase HOT 3
- GitHub CI Actions for `pre-commit` are failing HOT 3
- different output HOT 6
- Dependency Management Pip-Tools Example HOT 1
- why the keyword phrase include a PRON, like "it" HOT 2
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