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Thank you for your wonderful explanations. You have been my ML teacher in the last few days. I can say your videos are the best out there in youtube. Thanks.

This was a very helpful overview, thank you!

Thank you so much for this video!! Helped me a lot to understand NER

simply awesome sir !!!!!!

Continuing the series and extending this NER topic a bit. Can you please create a custom NER using spacy v3 comprising relatively larger dataset which comprises of multiple entities!CUSTOM NER is the hot topic now !

Thank you very much bro for such explanatory videos. Please if possible upload new videos related to NLP Playlist quickly

Thank you so much for this video!! Ur way of teaching is very very good.Main thing is that you provide excercise with video so that we practice daily before watching next video. Ur channel is awesome for ur efforts. Please bring top 20 questing on NLP for interview

Cool as always Bro

When i write discplacy.render in google colab notebook it doesn't give me that style like mentioned in the video instead returned an html code

super easy lecture of NER 👍👏Sir can you please add more videos regarding the custom NER using spacy with large dataset...

thank so much, it is very practical. please, teaching topic modeling, sentiment analysis with BERT also.

after refreshing the doc objects which are manually wrote are gone... how to save it in our model?

Please try to create video for resume parsing using NER like you said in this video ,I am eagerly wait for that

sir can you please tell me how to merge tokens and add it into nlp pipeline. Sir please help me.

Where can we get the code syntaxes for nlp?

Smart guy❤

Pls when are you creating the Resume Parser for NER end to end project

So there must be any data source/storage which tells that this is a company name by fetching those list??

how to train en_core_web_sm model with my custom data?

Hey! Thanks for your work! In the first video, you said about we'll be doing end-to-end projects. Are those videos yet to be uploaded?? Thanks in advance

@anuradhachougule7935

2 жыл бұрын

I am also waiting forthe End to End Project.. Pls sir need it urgently

@manojkumar656

Жыл бұрын

I am also waiting

Hi can you please make a video on Amazon Kendra with custom entity tagging!!

gooood!!!!!!!!!!

bro will you make nlp playlist in hindi or not?

13:53 - custom your own entities 17:21 - build your own NER system

I'm unable to download the en_core_web_sm pipeline..! So could anyone please help me....!

Hi Dhaval, This might not be a correct platform to ask discuss the query. I am sorry for that but will you be able to help me with the below query? While solving the exercise, I found that "Pongal" is having a tag as "GPE". I checked for the solution and found that my code is correct. How to fix this? Can you please help?

Dhaval, one of the interviewer asked me to perform NER on a big tabular data few weeks back.. she told me to not to use spacy.. Basically she wanted me to use Neural Nets to build a model.. the file format was so weird.. so, i couldn't work on it at all.. Can you please walk us through similar kind of problem.. it would be a great learning experience for us..

@codebasics

2 жыл бұрын

Would you be able to send me these details on my email learnpythonlanguage@gmail.com also if possible send me a file or few sample record that you can collect from your memory, I will try to make a video when I get a chance

@riyaz8072

2 жыл бұрын

@@codebasics Sure Dhaval.. I'll share the details..

@riyaz8072

2 жыл бұрын

@@codebasics Hi Dhaval.. I've forwarded that data set and problem statement on your email address.. Please check and if possible, please make a video on how to solve that.. I recently cleared an interview within my current organization for AI-ML developer position.. Your videos have really helped me.. Thank you very much.

@artigupta8342

2 жыл бұрын

@@riyaz8072 please can you tell me how to do preparation

Sir your Power BI course is great. Kindly create similar course on NLP such that going on that our all doubts gets solved and we become ready for job. Various courses are then on Internet and they claim to be industry ready but they lie.

@codebasics

2 жыл бұрын

Got it. Yes I am in the process of building a team and creating an ed-tech company with an aim to deliver a very high quality learning content at an affordable price. I will note down your suggestion for NLP course.

@venkateshkalimuthu425

Жыл бұрын

@@codebasicseagerly waiting for NLP!

inc. also worked for twitter

Im using space now and all the bugs of her not recognising is fixed even in your whole playlist maximum is fixed

Respected Dhaval Sir ,I have completed all the videos of your nlp playlist but You are slow in creating new videos. pls upload the remaining videos as soon as possible so that I can complete my NLP before my placement drive. I again request you to complete by July 2022. I prefer your videos becouze clear , simple, point to point and also very important thing i.e, exercise. and last end to end project. Hope you will take it seriously. thanks a lot

He had already made a video on this topic right?

@codebasics

2 жыл бұрын

I briefly touched the topic previously but this one is a dedicated video for NER

@riyaz8072

2 жыл бұрын

@@codebasics Thanks Dhaval..

9th comment

07:39 Tesla owned Twitter for real, How come you took so true prediction example.

Most powerful weapon ctrl c and Ctrl v 😂😂😂😂

Geek

Hi. I have an important stuff to implement. Could please check your Instagram. I have raised my query there. Please respond asap

NER Code : import spacy nlp = spacy.load("en_core_web_sm") doc = nlp("Michael Bloomberg founded Bloomberg Inc in 1982") for ent in doc.ents: print(ent.text,"|",ent.label_,"|",spacy.explain(ent.label_)) nlp.pipe_labels['ner'] # it gives all the entities present in nlp pipeline as ner -------------------------------------------------------------------------------------------------------- custom ner building doc = nlp("Tesla is going to acquire Twitter for $45 billion") for ent in doc.ents: print(ent.text,"|",ent.label_,"|",spacy.explain(ent.label_)) from spacy.tokens import Span s1 = Span(doc,0,1,label = "ORG") s2 = Span(doc,5,6,label = "ORG") doc.set_ents([s1,s2],default="unmodified") for ent in doc.ents: print(ent.text,"|",ent.label_,"|",spacy.explain(ent.label_)) -------------------------------------------------------------------------------------------------- Building own ner 1. Simple lookup ( storing in database) 2. Rule based ner (spacy uses entity_ruler ) 3. ML ( crf , bert )