NLP Tutorial 4 - SpaCy Python Tutorial | Linguistic Features Extraction in NLP

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This tutorial is a crisp and effective introduction to spaCy and the various NLP linguistic features it offers. We will perform several NLP related tasks, such as Tokenization, part-of-speech tagging, named entity recognition, dependency parsing, and Visualization using displaCy.
Processing raw text intelligently is difficult: most words are rare, and it’s common for words that look completely different to mean almost the same thing. That’s exactly what spaCy is designed to do: you put in raw text and get back a Doc object, that comes with a variety of Linguistic annotations. spaCy acts as a one-stop-shop for various tasks used in NLP projects, such as Tokenization, Lemmatisation, Part-of-speech(POS) tagging, Name entity recognition, Dependency parsing, Sentence Segmentation, Word-to-vector transformations, and other cleaning and normalization text methods.

🔊 Watch till last for a detailed description
00:39 Understanding problem statement
05:58 Installing the packages
10:17 Tokenization
16:18 POS tagging
27:00 Dependency parsing
31:14 Named entity recognition
34:09 Sentence segmentation
45:36 Visualization

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Bro, I don't usually comment but your videos are amazing. The way you speak English, with an Indian accent is what resonates with me. I have watched a lot of tutorials but they were mostly by non-Indian but I think your's are the best. You are underrated, brother. Btw, ima bitsian.

pulkitpurwar
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I like your videos. You start with Basics explaining the fundamentals quite well and gradually shift into high gear. I have been watching all your videos on ML, Feature Extraction and I like the topics you have covered and the pointers during each of the videos are very helpful. Thank you and keep up the good work.

ijeffking
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Excellent Explanation. Wating for your video on NLP using deep Learning.

adityapujari
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Awesome tutorial. It helped me a lot even when I did not know anything about the topic. Thank you very much for your dedication, best wishes!!

Kevin
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U have misspelled buying [buyig]. Thats why lemma and dependency parsing isn't working properly with buying..

sobhanmumtaz
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Extremely helpful tutorial!
Thank you so much for creating posting this video!

rishabhpanesar
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Page not found is coming when open github repo

gaganutubek
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this error is showing while writing the add_pipe function
nlp.add_pipe` now takes the string name of the registered component factory, not a callable component. Expected string, but got <function set_rulee at (name: 'None').

uditsinghal
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nlp.add_pipe(set_ruler, before='parser') giving value error

prathameshmore
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Great tutorial - Thanks for sharing! Your explanations are very clear and thorough. I enjoy watching each part.
I noticed that on tokenization, lemmatization and dependency parsing I have slightly different results. then I realised that in your example the word 'buying' is misspelled ('buyig'). That probably causes incorrect POS and dependency parsing of this word. As most text sources will have spelling errors quite frequently, I was wondering if SpaCy has a kind of method for detection of incorrectly spelled words?

robp
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Bro, why can't we access the github link?

pulkitpurwar
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I downloaded the medium size of spacy. It is showing error when i try to use it
nlp = spacy.load('en_core_web_md')


Error:[E050] Can't find model 'en_core_web_md'. It doesn't seem to be a shortcut link, a Python package or a valid path to a data directory.

kishanpandey
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Sir, while I am trying to import image, the image is not displaying though the code is executing. Infact it seems as it is seen in github linked page.

ranjan
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sir plz make a vd on multilabel news classification using deep learning

yashkumargoel
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This video tutorial is very helpful. I have one doubt. Could you please let me, If 'not' is a stop word, how nlp identifies, good & not good as two contradicting reviews in sentiment analysis?

viveksrinivas
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The dependency parser didn’t work quite right because you misspelled “buying”

therealsimlady
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GitHub link giving error 404 can you help providing the link

sharduljadhav
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the following command is not working in anaconda terminal prompt or jupyter notebook .... can you help .... i am getting a invalid syntax error
python -m spacy download en_core_web_sm

kiranbankupalli
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Great Video but i feel like my ears are bleeding with that volume 26:25

esaanjum
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in description you mentioned this link to download
but its not working

mdferoz
visit shbcf.ru