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

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KeyBERT:Keyword, KeyPhrase extraction using BERT embeddings
In this video I give a demo of KeyBERT library. KeyBERT is a minimal and easy-to-use keyword extraction technique that leverages BERT embeddings to create keywords and keyphrases that are most similar to a document.

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love and appreciate the hard work you put to create such a great videos...
a kind request, if possible plz try to mention custom training as well even just a high level overview is enough at the end of video....Thank you

gulabpatel
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Hey, was wondering if i could do the same for multiple customer reviews instead of just one?

jeromesoh
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Thanks for great tutorial packages.Your 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 company.Pls be on your course and introduce us latest technology to cope up with AI

sajansudhir
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I have one query about language support. Is keybert support Kannada Language? sir

sanjaysan
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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 product
Also how would i interpret these prob given with differrent options

jaivalani
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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.

karthikgali
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Thank you for this tutorial. I have one query about language support. Is keybert support French or Spanish text?

bhagirathradadiya
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No matter how you change the parameters, does it only give 5 key phrases?

adityancg
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Sreeni.. Do we have option to extract key value pair information from raw text using NLP..??

Zeeshanmys
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ImportError: cannot import name 'keyBERT' from 'keybert'



hii im getting error like this idk why
please help me to find the solution

Munna_