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KeyBERT Keyword, KeyPhrase extraction using BERT embeddings #nlp #tutorial

Frames KeyBERT Keyword, KeyPhrase extraction using BERT embeddings #nlp #tutorial

Description KeyBERT Keyword, KeyPhrase extraction using BERT embeddings #nlp #tutorial

Comments KeyBERT Keyword, KeyPhrase extraction using BERT embeddings #nlp #tutorial

I have one query about language support Is keybert support Kannada Language? sir Comment from : @sanjaysan9249

Hey, was wondering if i could do the same for multiple customer reviews instead of just one? Comment from : @jeromesoh9249

ImportError: cannot import name 'keyBERT' from 'keybert' (/usr/local/lib/python37/dist-packages/keybert/__init__py)brbrbrbrhii im getting error like this idk why brplease help me to find the solution Comment from : @Munna_9652

Thanks Rithesh , Can this model be used to find Top 5 issue or top 5 appreciations reported by customers Say 1000 customers have given a feedback about my productbrAlso how would i interpret these prob given with differrent options Comment from : @jaivalani4609

Thank you for this tutorial I have one query about language support Is keybert support French or Spanish text? Comment from : @bhagirathradadiya9753

Sreeni Do we have option to extract key value pair information from raw text using NLP?? Comment from : @Zeeshanmys

No matter how you change the parameters, does it only give 5 key phrases? Comment from : @adityancg5146

Thanks for great tutorial packagesYour lecture about SpaCy transformers on Text Classification and Custom Named Entity Recognition helped me to impress interviewer and because of that right now I am officially with startup IT companyPls be on your course and introduce us latest technology to cope up with AI domain Comment from : @sajansudhir3317

Thanks for the great introduction to KeyBERT I have a question about handling new keywords (vocabulary) For example: COVID was never seen before 2020 and is the one of the important Keyword - how would BERT based models work on OOV words Comment from : @karthikgali

love and appreciate the hard work you put to create such a great videosbra kind request, if possible plz try to mention custom training as well even just a high level overview is enough at the end of videoThank you Comment from : @gulabpatel1480

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