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How to Easily Find Keywords in a Document with KeyBERT in Python

Python Tutorials for Digital Humanities 5 views

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@piraveenthsooriyakumar1863
 does it take a long time to extract the keyword i find that it almost takes around 2-3 mins jus to extract the keywords I’m not sure whether if it’s just my computer or the library itself
Comment from : @piraveenthsooriyakumar1863


@PavanMuppala
 512 tokens max, can’t really call it a document
Comment from : @PavanMuppala


@Doggy-t1h
 Hello,sorry to bother you! I want to ask you a question about the usage of Keybert I create a excel file which contains thousands of texts,how can I extract keywords from this excel file?Thanks a lot!
Comment from : @Doggy-t1h


@tarik1895
 Hello thanks for thé vidéo dumb question if it IS bert based does it have thé same limitation in term of thé text size?
Comment from : @tarik1895


@daryladhityahenry
 Hi! I kind of curious Is there any context size limit for these kind? keybert, bertopic? If not, isn't they kind of superior vs current GPT? Event though the use case is different, but in someway, it has the upperhand Like this one, getting keyword, or bertopic to get topic model GPT can't even do that because the context size is limited and can forget the middle part of the articlebrbrAnd if there's no context size limit, so it can be like our library? We can collect so much data, and when we need, we can search using this Or explore using topic modelling to find out better what we want Am I right?brbrThanks
Comment from : @daryladhityahenry


@jakobkristensen2390
 Great explanation! But what are some actual usecases for this? Thanks
Comment from : @jakobkristensen2390


@sebastianpranz1307
 Thank you for sharing! Awesome tool, I have trillions of use cases in mind … think I'll start with auto-tagging my pdf library …
Comment from : @sebastianpranz1307


@sriram151092
 I am unable to run even a sample code in my work setup !!brI am facing some SSL errors for which I couldn't find a reliable solution
Comment from : @sriram151092


@viorelteodorescu
 Nice one
Comment from : @viorelteodorescu


@jesusmtz29
 Do you have a video on fine-tuning with sentence transformers? I have text which is very narrow in domain with a lot of typos and weird jargon But I do have identified the key features to extract Thanks
Comment from : @jesusmtz29

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