POS Tagging | Part of Speech Tagging in NLP | Hidden Markov Models in NLP | Viterbi Algorithm in NLP

[@MonikaSingh-nu5sg]

Best Machine learning and NLP content....Big Thank you !

[@SiddheshDesai1993]

0:00 - Introduction 2:27 - Plan of Attack 3:54 - What is Parts of Speech Tagging 5:45 - Applications of POS Tagging 8:39 - Code Demo 17:11 - How POS Tagging works

[@llllllllllllllllllllIll]

This warms my heart and my seat for 1 hour straight

[@raj4624]

finalyyyyy.after 2 week..hidden markov model...best topic..tysm..will soon watch this lecture..TYSM

[@sachi-4750]

I am following this NLP series from starting. I learnt so many things, Thank you so much for coming up with these interesting videos, Please keep uploading videos, it will be a great help to many people Thank you 🙏🙏

[@raj4624]

mast video tha yeh..worth it..especially the optimization wala part....

[@subhankarpal2260]

very helpful to learn NLP from scratch...superb explanation in simple way...many many thanks...grateful for making such awesome series in data science...🙏

[@biralife]

Stumbled upon this video from Nitish sir... I have know him since my fresher days at BITD while volunteering at the college fest and robotics ..soo good to see you sir ... more power to you

[@campusx-official]

Hey Bir, great to see you too:)

[@biralife]

@@campusx-official I am saving this Playlist on machine learning from you sir.. plan to start it soon..no better person to learn from than you ❤

[@IRFANSAMS]

@@campusx-official Fantastic work sir, Please add BERT, DISTILBERT,ALBERT,GPT Also..As we are eagerly waiting for your videos... you are super Awesome!!!

[@rohanchoudhary672]

Most underrated challenge. The video you mentioned of Serrano academy was good, but I found this example better

[@Kiranpatil990]

Superb understanding till now. Best channel for ML, DL

[@GovindSingh-lg5qs]

Sir you are come under the real teacher in this era... dil sa thank you sir😍

[@IRFANSAMS]

You deserve million likes sir.

[@snehaljoshi2949]

Thank you sir for this wonderful video,there is a lot to learn from this video,and i just love your teaching style,thank you again please keep sharing this kind of wonderful knowledge with us

[@imaliabdullah]

Hi Natish Sir, I hope you're doing well. I just completed your NLP playlist, and I can't express how grateful I am. You've put in so much effort to make this playlist, and it has truly made our lives easier. I've taken many courses from different paid websites, but I've never found a teacher like you who explains each concept so deeply. You are truly a gem. Thank you so much from the bottom of my heart, Sir! Love from Pakistan ❤

[@daljeetsinghranawat6359]

LOVE THE EFFORT MADE FOR THIS SERIES....THANKS SO MUCHH

[@HimanshuSharma-we5li]

एकदम फाड़ू content हैं भाई 😜😜💯💯💯👌👌👌👌

[@aakashmodi441]

@campusx Bhaiya ek number content....... 🔥🔥🔥

[@subharthee1]

You are superb in explaining. I was going through all your NLP series and they are all fabulous. Thanks a lot for your videos.

[@ganeshkamble909]

@subharthee Dutta , what does sir mean by term model(m) , can you elobarate

[@siddharthkarale3100]

Best playlist on NLP!!!!!!!!!!

[@ravindracute]

you are amazing. i have share with all my collegues. awesome brother

[@shashankpandey1966]

Thankyou sir ❣,U are a great mentor .

[@Dataproscientist]

Bhai series continue kro it's awesome series

[@Naman_Bansal102]

Best Video on KZbin

[@vishnusit1]

excellent dear..hats off to you ...great explantion...keep it up,,🙏🙏

[@nikhildangi_....]

Thank you so much sir i am following your all playlist i am your big fan ❣️❣️❣️

[@siyays1868]

Thanku so much sir for an amazing video as always. U r very knowledgeable teacher with an awesome teaching style alongwith ur hardwork makes CampusX a great channel. Very greatful to u & ur channel.🙏🙏

[@ronylpatil]

Please upload more and more videos. And Congrats for 12k🎉🎉

[@pavangoyal6840]

excellent !! Please continue this series

[@MRBAM]

your Content is OSM 💯🤟

[@curiouscubs-x3v]

excellent and super elegant explanation !

[@ronylpatil]

Sir NLP playlist is really very amazing and very informative. Please upload more and more videos, and please suggest me best book for NLP.

[@somdubey5436]

very well explained. Thanks a tonne.

[@manishagrawal2752]

So nice, request to upload NLP videos on regular interval.

[@ravinarang6865]

I generally like your video as i start watching 😃😆 More power to you. Honestly i didn't understand first example of Viterbi 😂

[@Ankit-hs9nb]

thanks, sir jee for the awesome video!

[@rohanchoudhary672]

Reject: Udemy courses of Deep Learning having 2 hours of NLP being paid Embrace: Nitish sir's 9 hour free course on NLP with better explaination

[@SumanKumari-cn3wo]

very nice explanation .......thank you so much sir

[@OnkarPatil-p2s]

best teacher

[@kshitijdesai2402]

Great video!

[@mini22q11]

Loved the video ☺☺

[@KumarPrakash-ty7dp]

Amazing Lecture Sir 😚

[@ash-xl3bb]

Hi sir your nlp playlist is really valuable and it helped me a lot. Could you please do videos for context free grammar and other types of pos tagging.It would be really helpful 🙏

[@moshi-moshi-0_0]

It makes sense if we calculate the emission prob row wise, and not column. For instance, we have a sentence where 'smith' is a noun, but we only have one instance of 'smith' , and there are other words that have more occurrence as a noun. If we were to cal column wise, their more occurrence is having an impact on 'smith' ; say the prob('smith is a noun') becomes something like 1 / 10 ; which shouldn't be, rather the prob('smith' is a noun') should be 1, because there is only one instance of smith as a noun , not as a verb or as a adverb or any other.

[@charanpoojary4804]

Great content

[@rohanwarghade773]

i don't understand the transition table how he draw that?

[@mayank_072]

so well explained....

[@ashishmalhotra2230]

Sir, tussi great ho!

[@kartikgoyal2782]

nitish sir u r great

[@waqaswaqas200]

You are super sir😊😊

[@c52obsagp50]

Superb sir

[@neharai3866]

you are suberb sir.

[@kalm4757]

30:51 sir emission matrix me row sum 1 aana chyea cuz it's sum of probabilities, but appki matrix ka ni aa ra,,,,,,,

[@SurajitDas-gk1uv]

Thank you

[@RamzanYousaf-m2v]

Good Sir g

[@animatrix1631]

link to the video on introduction to Bayes theorem and Hidden markov model :kzbin.info/www/bejne/oaK2q3-lbsuYpM0si=8y0mT30TEnAFxqwo which Nitish asks us to refer in this video

[@8791692532]

As I see you only give overview introduction of deep learning,Are you going to start detailed deep learning playlist in future ? Please recommend some useful resources of deep learning. Your guidance and recommendation appreciated, Thank You for providing great content .

[@hritikakolkar]

Informative

[@pranathipatelhe5595]

Please share a video on frequency distribution of pos tagged list

[@gauravvan]

Amazing 🔥

[@jayanthAILab]

Sir great effort. Thankyou for best explanation. I have completed your ML, DL and now NLP. pls give reply in linkedin sir.

[@AtharvaSadanshive-e7q]

Sir please upload videos on Topic modelling and NER..

[@jayeshchaurasiya262]

Sir please make videos on LSTM, Autoencoder , decoder , encoder like topics.

[@Sameer_Singh_Films]

sir can you please tell how can we do costumed name entity recognization.

[@asifpervezpolok2243]

great tutorial

[@technicalhouse9820]

Sir ❤❤❤❤❤❤ my daily schedule autho youtube khola campusx pa video dekho notes bano sham hogeya fer again good ni8

[@shani8175]

Hey , Can I have your notes ?

[@mohitrana2801]

Very nice

[@shaunaknagvenkar8508]

you have taken the min probabilty instead of the path with max prob for next calc for ed 3/500 instead of 1/25 and 3/20000 instead of 3/2000

[@sachinpandit1637]

Please start with time series

[@qwertytech2267]

Hi, I have a very specific problem. Given with a word list and a one liner sentence. I want to find all the unknown words from the sentence. Please consider that the sentence can have misspelled words and the word list can have n-grams. Looking forward to any help and suggestions.

[@dhanushnarayananr8413]

In 39:05 , it should be 3/10 ryt? how 1/10 ?

[@sayansaha5348]

Sir can you please recommend a list of beginner level projects one should do for nlp?

[@HimanshuSharma-we5li]

Sir, can I use nltk for pos.

[@darpanaswal9291]

What about backtracking? How will you actually determine the actual sequence of POS tags?

[@rakeshkumar-rm3jn]

👍👍👍👍👍

[@AlAmin-xy5ff]

nice🥰🥰🥰🥰

[@ajaya652]

sir this video was informative,but i have one question "is nltk and spacy pos follows the viterbi algorithm to pos tagging?"

[@AnimeshMannakolkata]

PLEASE MAKER ONE MORE VIDEO FOR 'NER'

[@ChainCrafts99]

2:00sir apky hoty huei koi cheez mskl nahi lgi ML,DL,NLP sab apsei sikha hy

[@kumarabhishek1064]

It would be great if you could build one chat-bot project.

[@campusx-official]

kzbin.info/www/bejne/hJOVYoKelrxrfbs

[@KumR]

Whoa

[@jebathuraijb4374]

I think you should have took 1/25 instead of 3/500, because 3/500 was noun - noun probability.

[@k10-w3s]

🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩🤩

[@Hellow_._]

but for zero probabilities we can smoothing technique.

[@ashutoshverma1418]

EMISSION PROBABILITIES ARE CALCULATED WRONGLY. The numbers should have been divided by the sum of row and not column. Because it tells the probability of, for e.g., Nitish being a noun and NOT the probability of any noun being Nitish.

[@Sara-fp1zw]

Sir where sould we apply POS tagging? after tokenization or before? please clear my doubts

[@husseinalmansory7370]

No English :(

[@abhisheksoni854]

jumps* over a lazy dog