Modules on Python which are useful for missing Word/Letter prediction in text paragraphs from a coprpus

Question

Can someone please recommend me some Python packages which I can use for missing word prediction in a paragraph of text. The missing words are a part of existing semantic list of words.( List of missing words are a common set of words like was ,were etc). If there are better packages in R which can help me with this it would be very useful if you post it here.

Thank you.

data mining predictive modeling python text mining

Thank you.

basvb · Answer

This problem seems to be exactly (or at least very similar to) that in the Billion Word Imputation challenge at Kaggle. Some of the approaches discussed in the forums might help you out. My initial thoughts for useful tools/methods would be word2vec, the stanford NLP tools and sklearn.

Answered by basvb on May 11, 2021

Modules on Python which are useful for missing Word/Letter prediction in text paragraphs from a coprpus

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