Text Representation | NLP Lecture 4 | Bag of Words | Tf-Idf | N-grams, Bi-grams and Uni-grams

[@raj4624]

oh bhai.. unbelievable... 2hrs of content......genuinely dil se shukriya sir appko....

[@sauravagarwal8928]

This is one of the legendary videos I have seen. I’m into SEO and trying to wrap my head around semantic SEO. Some experts in the semantic SEO industry use technical jargons and fail to explain how semantics engines like Google work. But your series helped me understand every single bit of it. I don’t know python coding, but now I understand how Google algorithms work to rank any document. I understand the type of computation they do behind the screen. The video is pure gold! I mean it! This helps me as a search engine optimiser and makes me better understand machine and human interaction. Thank you so much 🙏 ☺️

[@allgodab]

The best teacher I have met for data science. Very detailed and easily understandable explaination for every concept.

[@shubhamgattani5357]

I cannot find any reason not to like this video. It's amazing!

[@chetanpatil724]

Sir aap itna accha kese padhate ho... lit 🔥.. spending 2 hrs is just a casual thing for me now... Ab toh aise ho chuka hai when I am feeling bored then I open campusx.... Chalo kuch new padhna start karte hai... Thanks sir for such efforts for us 😍☺️...

[@art4eigen93]

This playlist is necessary for basic to advanced NLP engineers. Please do upload the complete series Sir. Your contribution is life saving.

[@naveedkaimkhami2695]

I was confused to select word embedding technique for my fyp project and found this video life saving. Thank youu soo muchh !!!

[@ashwanibhardwaj4930]

Please carryon this series and we would like to learn advance NLP using deep learning/langauge models,sota techniques once basic NLP is done.

[@HarshVardhan-jj9xh]

Thanks a lot Sir. My Phd is on NLP only .your videos helps me a lot in understanding overall concepts . Your efforts are very sincere and dedicated 💯

[@forgotabhi]

I am getting started with NLP :) I am still doing my UG can you tell me your experience in the field?

[@HarshVardhan-jj9xh]

@@forgotabhi Its amazing field and day by day u will came to know new models and architectures.

[@hritikroshanmishra3630]

@@forgotabhi which college?

[@bishowlamsal7319]

Huge respect sir, You deserve more than million followers. Love from Nepal ❤️❤️❤️❤️

[@rachitsingh4913]

For me You are the best data science teacher. ❤❤❤❤❤

[@MuhammadAfzal-xl7wd]

thank you so much. you explain the concept in a very very simple way. once again thank u so much 🙂🙂🙂🙂

[@abhinavkr5131]

Bohot tutorials dekha but aap best ho sir

[@QuranicDevotion-tr4gm]

Jazakallah, i was searching for this type of explanation from a long time.

[@rishabhsonkar4535]

sir, you have great teaching style and knowledge .

[@piyushpathak7311]

I am following your Ml playlist sir you have great explanation, sir please complete xgboost and DBSCAN algorithm in this playlist and please start series on Deep learning..

[@AkashBhandwalkar]

I'm following it as well

[@campusx-official]

Will do it in January

[@AkashBhandwalkar]

@@campusx-official woaahhh! Thank you sooooo much! This made my day! 🥳🥳🥳

[@749srobin]

@@campusx-official which year january sir ?

[@debojitmandal8670]

@@campusx-official hi sir based on your example using tri gram the vocabulary is decreasing to 5 so i dont follow your this part when u said the vocabulary increases as the n gram increases

[@kindaeasy9797]

31:41 wow loved the explanation

[@khalidali4571]

Good Knowlege You Have In Data Science ML & DL. Method Of Teaching Is Also Good.

[@basit-qx7ys]

i love the way sir explains, i am not able to grasp the fundamental concepts but not able to imagine myself to code for NLP without any guidance ,Any suggestions what other materials and sources I should follow ?

[@harisumanth]

Almost 2 hours...Respect!

[@ronylpatil]

Many Many Congratulations to you Sir for 10k Subs🥳🥳🥳

[@hritikroshanmishra3630]

😁😁😁😁 182 k

[@princekhunt1]

Superb explanation

[@shivamgarg3890]

This channel is highly underrated...

[@SidIndian082]

1:23:40 - Campusx - word in IDF is repeated 4 times sir , .. Loge( 4/4) = 0

[@Tusharchitrakar]

It's repeated only 3 times bro

[@BTStechnicalchannel]

Your explanation is so great!! Vo bhi hindi me. Thanks a lot!!💙

[@abdullahmohammadshakib7782]

Excellent

[@nikhiljagtap1669]

at 55:24 , BOW doesn't consider the sequence of sentence but since we gonna perform Tokenization before this, we gonna lose some words that'd mess the sequence anyway. isnt that right?

[@aggastia_arora]

nice video 😊😊

[@siyays1868]

Thanku so much sir for a wonderful explaination. Hatts off to u always!

[@uzairsiyal2027]

Please start a play list on speech recognition

[@asifpervezpolok2243]

the best tutorial i found from you.

[@NavjeetKaurMehra2392]

Sir please also make videos playlist on graph neural networks.

[@mihirnaik3383]

Hi Buddy, Great content! This video cleared all my doubts regarding BoW and TF IDF🙌 Are you going to take any NLP projects in future based on Machine Learning models?

[@campusx-official]

Yes

[@mihirnaik3383]

@@campusx-official Thank you!

[@SidIndian082]

@@campusx-official Sir codes missing in the list ... BOW , TFIDF ..pls share

[@gauravlochab9614]

Can you add RNN, LSTMs, and modern NLP using transformers!? Loved the content. Huge respect. Ps banjara market ka lamp! XD

[@amitkumar2005]

Superb explanations !

[@gautamkushwaha8724]

why don't you keep the resource in the description, like the code link..

[@daljeetsinghranawat6359]

KUDOS TO YOU SIR ..............loving this series

[@takeshrao733]

Very nice and very good start point. Can you pls suggest which text representation algo suited for log analysis.

[@somyarathee]

Best series on NLP

[@749srobin]

sir ji , removing stopwords took 3hours 26 min , tokenization karne mein ghabraahat c ho rhi hai

[@mohaiminrahat4974]

Congratulations sir for 10K Subscribers.

[@hvjmlops]

Respect for your hardwork

[@deeptisingh93]

Thank you sir...Really itne easy way me smjhane ke liye

[@jai40403]

Where can I get these notes ?

[@ayushsachdeva4635]

can can you please explain glove and SVD

[@sharangkulkarni1759]

sir looking smart !

[@gauravverma4433]

It was awesome .. love you sir... thanx for your efforts

[@avinashbhardwaz5717]

Sir , i dont understand for idea of tf idf at 1:20:09. Since you said jo word document mein jyada hain but corpua mein kam hain. I confused in that way that how its possible. Since corpus mein to hoga hi hoga jyaga or equal.kindly clarify sir.

[@takeshrao733]

i am doing log analytics can u suggest which text representation technique is better for this.

[@machinelearningspace6977]

Teaching style awesome... Go ahead.

[@learnfromIITguy]

wow , after watching this video, I am confident on feature engineering

[@shahmuhammadraditrahaman9904]

Incredibile ❤️

[@yashgondaliya2831]

In given your assignment if I'm applying OneHotEncoding it shows error like you can use onehot encoder for limited category Does any one got output ?

[@mehulsuthar7554]

i have one doubt can we normalize the vector engineering features? I think normalizing the vector will still contain the info that was previously their but in the lower scale for reducing computation. let me know if this is the correct approach

[@shahu6015]

Congratulation for 100K subscribers in advance.

[@maukaladka4100]

Hello sir, I have had doubt on this topic how conversion is taking place, watch lots of video read lot's of blogs but no one can make me understand like u did. Hat's off to u keep up the great work.

[@gautampatadiya6096]

well done buddy #nlp #nlptuts #nlpeasytuts

[@AbhishekV-m8i]

Feature extraction from text / text representation/ text vectorization - changing text to numbers so that model can understand Bag of words -

[@uditsaurabh]

awesome video

[@joyeetamallik5063]

Thank you so much for such wonderful vedio. Sir Do u take any online classes as well?

[@campusx-official]

No, not right now

[@campusx-official]

No, not right now

[@siddharth4251]

Thank you very much Nitish sir!

[@technicalhouse9820]

maza aya sir qasam sa

[@muhammadjaved9169]

nice

[@furry2fun]

share the link for collab notebook

[@vaibhavmoharkar2349]

THANKYOU SIR

[@manavahuja4418]

Sir will you make a video for nlp project....something good for resume..?

[@bhanu0925]

Thank you for another great session

[@datagyan5489]

How to join Mentorship program

[@richaaggarwal07]

Please make more videos on NLP !!!

[@ranjithkumar947]

for tf idf, campusx term came 4 times but sir you considered it only thrice any reason for it? Anyway there we are getting +1 in realtime. Could you please reply me for this?

[@SatyaIITI]

Hi Nitis sir, where can we get these notes in pdf format.so that it will be helpful while doing revision.

[@diwakargupta0]

Awesome content and explanation sir 👐

[@ananyakumari6807]

Sir, can you please share your code notebook?

[@saumyakumari3441]

Many many congratulations for 10k sub. 🎊🎊🎊

[@campusx-official]

Thanks

[@campusx-official]

Thanks

[@hitinyadav3321]

Amazing video

[@Howto-ty4ru]

cv.fit_transform(df['eng']) How can we apply fit_transform on text? I think I do not understand this part

[@rajeevranjan5007]

Great Video Sir.

[@IRFANSAMS]

Sir..thank you for the wonderful video

[@khananas5716]

❤❤

[@avishinde2929]

thank you sir ji

[@Sara-fp1zw]

Congratulations on 36K subs, soon we gonna cross 100K IA :)

[@vivekathilkar6555]

Appreciate your efforts

[@backclover9651]

Bag of words minuets?

[@rajeevnayantripathi5370]

Sir, can you please provide us the notes

[@hari8568]

The example you gave for bigrams better than uni gram being able to differentiate the 2 sentences in vector space doesn't really make much sense to me, suppose instead of not I used a synonym of "very "instead like "extremely " then these 2 sentences should be similar in vector space but bigram model will say its different, so its actually not handling the word not rather just handling an unknown word differently

[@forgotabhi]

when i perform bagofwords method like the video in kaggle notebook on the imdb data it says memory exceeded and just restarts the notebook :( what to do?

[@yashkumar-j1y4y]

same issue i tried in my machine but it said memory exceeded it need 18.1Gib after applying ohe

[@forgotabhi]

@@yashkumar-j1y4y guess we're poor lol

[@whothefisyash]

fr maza aagya ekdm

[@ronylpatil]

Sir NLP series is really amazing, please recommend me best book for NLP because in few days I have an interview which will totally on NLP.

[@GhostRider....]

very nice explanation sir

[@muhammaduseram9405]

did someone completed assignment df[ 'review' ][1] hard to remove html pattern there.. df[ 'review' ] = 'a wonderful little production.

[@yashkumar-j1y4y]

import re pattern1=re.compile('') df['review']=pattern1.sub(r'',df['review'])

[@balrajprajesh6473]

2 hours of pure diamond mine.

[@shaiksalavuddin5976]

Thank you🌹

[@nikeshmali8506]

how can i get OneNote notes

[@ritwiksingh4937]

by writing in ur notebook

[@gajanankhapre2425]

Very good flow sir . Kindly upload next in NLP series

[@230489shraddha]

Thanks a lot sir .... Can you also upload a video on RNN & LSTM.

[@ayushroy6208]

Sir suppose length of sentences are unequal..... Tab kya padding ke alava aur koi option nahi hai in case of Tfidf Or ngrams etc?

[@HimanshuSharma-we5li]

You are a 💎.

[@xdrygvd24561]

TfIdf information retrieval Bag of words semantics

[@sachi-4750]

Thank you so much sir😊🙏

[@bananamaker4877]

Liked and shared your video. Subscribed your channel. What else can I do for you. You are doing a great job.