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Currently, keyword based context mining has been implemented using word mover's distance - refer to this script
Refer this output document file to better understand the function of the script mentioned above
Spacy is another NLP library available in python for NLP based tasks
Taking heavy references from the above script for methodology, and for the same data as used in the above script, perform the following tasks:
Perform keyword based context mining using spacy's context sensitive tensors (in a new file)
Decide a threshold score after running a few experiments, and justify your threshold in the PR readme
Compare the results of keyword based context mining obtained using the wmd approach and spacy's context sensitive tensors and document the same, quantifiable analytics are encouraged, and accordingly update the readme. Conclude on which approach is better and why
The text was updated successfully, but these errors were encountered:
Perform keyword based context mining using spacy's context sensitive tensors (in a new file)
Decide a threshold score after running a few experiments, and justify your threshold in the PR readme
Compare the results of keyword based context mining obtained using the wmd approach and spacy's context sensitive tensors and document the same, quantifiable analytics are encouraged, and accordingly update the readme. Conclude on which approach is better and why
The text was updated successfully, but these errors were encountered: