The EASIEST! way to do Text Classification with spaCy and Classy Classification

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Best text-related ML channel on youtube

kosemekars
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Thanks for making this vid, been learning Python for a bit and this stuff makes Python shine!

giantdutchviking
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You are reading my mind! Looking forward to this!

wdonno
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Good knowledge, shared wonderfully. Looks like a great module. Now thinking of all the applications in works of English literature. thanks!

shahidmahmood
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i am just searching for best NER algorithms since last two dasy for my usecase can't wait to see what you have it here

VitthalGusinge
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This is gold material, thanks so much for putting this out in such a comprehensive way!
@Python Tutorials for Digital Humanities In one of your videos you mentioned you do research in History, is that right? I’m curious to know how people are using text classification methods such as this in History research, do you have any material you could point me out to?

luiztauffer
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Thank you for this tutorial. I tried saving the trained model using nlp.to_disk('D:/ABC'). But when I load it back using spacy.load('D:/ABC') in a fresh Jupyter Notebook, I get the error "[E002] Can't find factory for 'text_categorizer' for language English (en). This usually happens when spaCy calls `nlp.create_pipe` with a custom component name that's not registered on the current language class. ...". I am still in the same conda environment so I can't be missing dependencies. What is causing this problem?

DK-rlsf
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Hello Dr. Mattingly, do you know if it's possible, to fine-tune a pre trained model? I'm really not familiar with that but I need to tweek a model with a few exceptions.
Yours Sincerly

Hypothermia
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Thank you very much for sharing! Love it.
May I ask would it be possible to add more classes to the data ? It would be even more awesome If it could be done for other non-English language models.

nguyenngochai
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Is there a way to utilize this model without having to define what the keywords are but simply to provide a list of them without any definition?

Filipkasic
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Great video, thanks a lot. Do you recommend any models in spanish besides those already available in spacy?

victordeleon
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Thank you very much for this video, was looking for something exactly like this !! I was wondering if there is any way to save the model config on the disk once the pipe with support samples was added, do you have any ideas on that?

lisagilyarovskaya
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I was trying to identify "local indicators of climate change impacts" (what changes people observe in their environment -... not city people... :D ) in a database of scientific articles. results are ok. its hard, but it might use as a pre-scan

rf
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This is a really good tutorial Thank you!
I have not been able to get it running so far. When I attempt to "nlp.add_pipe( ) " on the text_categorizer, the kernel crashes and restarts. Any clue as to why this would be happening? I have a fresh environment with spacy and the classy_classification newly installed.

CoreyMalcom
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Thank you very much for this useful video. This is exactly what I need.

I tried it with real data, but I get this warning message, what should I do?
UserWarning: The least populated class in y has only 1 members, which is less than n_splits=2.

youTanod
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Cant wait. Is it multiple or binary classification though? I am hoping there would be a multiple classification as there is an elaborated video you did on binary classification?

ezrakassa
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Is this still relevant comparing to using gpt for classification?

gangs
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Cool! I'll use it in my trashy ai to make it less trashy 🤣 to make it understand intentions

trashyAIguy