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Under the nlp module, add part-of-speech tagging hero.pos. Again here the solution would be to use spaCy. This should not be particularly complex as the code would resemble named_entities or noun_chunks.
Food for thoughts: having separate functions allows for simple code, but it makes the pipeline quite inefficient as every time an NLP function is called spaCy has to go through all the corpus again. Other ideas and solutions are also welcomed.
You can either work on a new PR or edit the one of @samirghouri, probably it will be easier for you to start a new one (less merge conflicts and you will understand better the code).
Thank you for your help, for any question or remarks I'm available! 👍
regards,
Under the nlp module, add part-of-speech tagging
hero.pos
. Again here the solution would be to use spaCy. This should not be particularly complex as the code would resemblenamed_entities
ornoun_chunks
.Food for thoughts: having separate functions allows for simple code, but it makes the pipeline quite inefficient as every time an NLP function is called spaCy has to go through all the corpus again. Other ideas and solutions are also welcomed.
Will be implemented only after #65 is solved.
Linked PR: #57
How to contribute: CONTRIBUTE.md
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