Finally a tutorial that a beginner can actually follow! I've been trying to install NLTK for HOURS, but after following this tutorial, 20 minutes later... bam! Everything is figured out! Thank youuuuuuu!!!
Hi sentdex, the tutorials are too good and any novice to nlp can understand the concept well. The way you teach methodically is super!! Especially the calm and cool way you teach. It would really help many.
I cant praise your courses enough. Not only do they offer an introduction, but you seem to be able to seamlessly progress and transition into the really useful complex tools too. Not only this course, but all of them. I use Udemy and Datacamp a lot, and they are both excellent, but your python courses really are a step above even DataCamp. Thank you so much !!!
Hi Sendtex, absolutely smashing tuts, really love the calm relaxing way you teach. Please keep up the awesome work...python is great to use and hardly any good intros on specialised modules such as NLTK....reading python documentation is like watching paint dry so verbose and uninspiring...Regular Expressions are a pain - you're right they take forever to formulate and never parse what you need. Look forward to watching all the playlists. :)
Fantastic series. Gotta love Harris and his silly humor. Explanations are excellent and he makes it the easiest time I ever "learned" the main features of a language form scratch. And I'm learning a marketable skill while I'm at it. Fantastic stuff!!
I was having lunch in my cubicle, and I decided to learn something on RUclips during lunch. Then I was like, I want to see if there is any NLP tutorial that can be entertaining. I watched this video. And I was like, ok I have to google this guy. Check his linkedin. He is inspiration. BTW, zero dislikes so far. Way to go Harrison.
Insanely helpful tutorials man. I am coming from a java background and have almost 0 experience in python but the way you have explained every single thing from downloading and installing to every detail. Its just insane.
Hi Sentdex, thank you so much for the videos. Your explanation/teaching is 100 times better than my university professor. I'm looking forward to watching the rest of your videos.
This is so cool, an easy module to use implement within statistical models on various probabilistic outcomes. I can't find a more useful channel on Python than yours.
Hey! I was the whole afternoon waiting to download the NLTK thingy. For those developers that live in a country with low speed internet connection (Like me), do not despair! :). Good video (Y) :)
thank you for the awesome tutorials. I don't usually write comments (laziness) but I wanted to for your videos, cause they are great. Please keep up the great stuff!
Thank you again for this easy introduction to NLTK which is very vauable for lazy people like me who get scared when they see the NLTK book :))) I've subscribed to the pythonprogramming site!
I love your videos , the way you teach us it looks very easy to understand....When you smiles in between that add relaxation while learning...keep it up...Thanks
Thank you for this great tutorial. I am actually new to Python and NLP. However, I found this tutorial to be increadibly easy to follow. Looking forward to watching the playlist.
"Ptdrrrrr" is like "lol" in french. It's an acronym for "Pété de rire" which literally translates to "Broken from laughing". This is from a lot of french people commenting on funny content.
HI @sentdex , since it's 2020 and there's quite an upgrade, what do you say about making a tutorial regarding NLP regarding all algorithms out there ? Like GPT-2 , BERT (just the popular ones) Whatever else you would like to include .
Rochbenritter Yeah, much needed update! First few videos in this one will be similar (pos tagging, named ent rec, chunking...etc), then we'll dive into some more interesting tasks like text classification, which the other one didn't quite do.
I don't mean to be a complete douche, but 'corpora' is the plural form and 'corpus' is the singular. These are really useful videos, though, so thanks!
Sarah Pleef I am aware of the definitions. Not really sure why you felt the need to say this. Did I miss-speak somewhere in the video about this? It is also important to note that a "corpus" is almost always also a "corpora," and visa versa, unless it's literally one document.
Hello Harrison, thanks for this short and practical NLTK introduction. As you kindly mentioned you would accept questions, so I have one: how do I proceed if I need to create a word and a sent tokenizer for a language not supported by the NLTK tokenizer? You mentioned a procedure involving unsupervised learning and a possibility to 'create an own language'. Could you please give me a hint how I shall start to do that? TIA.
Sir kindly make tutorials on these contents which are required for future with projects. Thanks?? Natural language processing using NLTK and Python Module Contents: • Basic text analysis with NLTK • Text pre-processing • Stopword removal • Stemming and lemmatization • Parts of speech tagging • Chunking • Named entity recognition • Wordnet with NLTK • Text classification • Converting word to features • Classifying text documents using NLTK • Integration with scikit-learn classifiers • Gensim • Word2vec • Investigating data biasness using NLTK • Twitter sentiment analysis using NLTK
great video... very helpful.... (just a quick heads up, though: "corpora" is plural of "corpus," i.e., "body," in this case: "body of language content"). One corpus -> many corpora
16:28 print(word_tokenize(ex_text)) ---> is not parsing Mr. separately o/p: 'Mr.Uchiha' what am I missing something?? Edited: I see It separates when there is a space after "."
Hi, Which will be better for stock prices sentimental analysis Bag of words Tfidf Also discussed with reason plz? Looking forward to hearing from you soon!!
Great great video. I have a problem. When I am downloading all the packages, it stopped at the pantex lite package and the status said out of date. What should I do now
For Ubuntu users ( default is python 2.7.9 - to change that to 3.4+) 1.Create a document or (sudo gedit ~/.bash_alias) 2. Enter the alias for python or type "alias python=python3" in the document. Save and close 3. Then (source ~/.bash_alias) Python switched to 3.4+
Where's a good place to ask about nltk.download() on OSX. I can see from stack overflow that a lot of people have problems. None of the solutions they mentioned work for me.
Hi, Love these videos! Just wondering what the best way would be to make sense of data I had gathered from a flyer via OCR ie: organizing it into EVENT,DATE,LOCATION etc... do you think clunking?
Published on 2015. Watching on 2019. Still the best tutorial available on RUclips.
same here indian
malayali spotted :)
@@The_midnight_motivator
😁😁😁. How?
@@arjunvenugopal4763 njanum...Malayali...ayathondu....😅😅
@@The_midnight_motivator 😁😁😁
I swear man. Every time I have a question that I think will yield 0 results on google I find one of your videos. Thanks for doing what you do!
Made 8 years ago and still easier to understand than my professor. Hope the series is still relevant.
Finally a tutorial that a beginner can actually follow! I've been trying to install NLTK for HOURS, but after following this tutorial, 20 minutes later... bam! Everything is figured out! Thank youuuuuuu!!!
Glad I could help!
I love your easy to follow tutorials! You are an expert yet you don't skip basics for us.
I have zero experience with programming, but this tutorial is so clear and accessible I actually feel like I know what I'm doing. Thank you so much!
Great to hear!
Everything I search for python on you tube, I find your channel.
Published on 2015. Watching on 2021. Still the best tutorial available on RUclips.
This dude deserves a Nobel prize for all the free gems he uploads to RUclips. What a guy. Hats off !!
Hi sentdex, the tutorials are too good and any novice to nlp can understand the concept well. The way you teach methodically is super!! Especially the calm and cool way you teach. It would really help many.
I cant praise your courses enough. Not only do they offer an introduction, but you seem to be able to seamlessly progress and transition into the really useful complex tools too. Not only this course, but all of them. I use Udemy and Datacamp a lot, and they are both excellent, but your python courses really are a step above even DataCamp. Thank you so much !!!
Hi Sendtex, absolutely smashing tuts, really love the calm relaxing way you teach. Please keep up the awesome work...python is great to use and hardly any good intros on specialised modules such as NLTK....reading python documentation is like watching paint dry so verbose and uninspiring...Regular Expressions are a pain - you're right they take forever to formulate and never parse what you need. Look forward to watching all the playlists. :)
+Shana L Thanks for the kind words, glad you enjoy the tutorials!
I've just giggled a bit about Sendtex's "smashing tuts" and I am sorry..
This is my best tutorial experience from RUclips. It's amazingly well paced. I whole-heartedly thank the person who made this...
Watching this in 2024 and it still remains the best tutorial in the domains of NLTK and NLP! ❤
Fantastic series. Gotta love Harris and his silly humor. Explanations are excellent and he makes it the easiest time I ever "learned" the main features of a language form scratch. And I'm learning a marketable skill while I'm at it. Fantastic stuff!!
Recently started a NLP project and found yours nltk series.
You have fabulous work with the videos. Thanks much!
2021. Still the best Python NLP tutorial on RUclips.
I was having lunch in my cubicle, and I decided to learn something on RUclips during lunch. Then I was like, I want to see if there is any NLP tutorial that can be entertaining. I watched this video. And I was like, ok I have to google this guy. Check his linkedin. He is inspiration. BTW, zero dislikes so far. Way to go Harrison.
"ptdrrr" is the French equivalent of "lm(f)ao" ^^. Thank you for this video.
i will be dammed 9 years old playlist, just saw the first video and completely understood tokenizer better than my uni prof
Same
Dang. You're basically like monitoring the sentiment of the entire world! That's freakin' awesome
Insanely helpful tutorials man. I am coming from a java background and have almost 0 experience in python but the way you have explained every single thing from downloading and installing to every detail. Its just insane.
Simply the best! Posted on 2015, still watching in 2021 :)
Hi Sentdex, thank you so much for the videos. Your explanation/teaching is 100 times better than my university professor. I'm looking forward to watching the rest of your videos.
The day I got my feet wet and fingers numb with nltk, watched this excellent tutorial! Thanks! :)
Who knew one should never eat cardboard? Great example 😊 and good set of resources for NLTK. Thanks
I love how he teachs us Statistical analysis and data reconfiguration
you are a legend for all the work you've done! been using your website for years and it's so weird to know the creator is so like humble about it lol
Doing great work bro, have watched almost all of your tutorials, absolute best over whole of yt.
ed snowden teaches python now?
tough life in russia you know
lol
6:44 'whoops I guess I hate the US' - guess that proves it xD
I always see Snowden talking when I see him lol
@@AMINE-yy3zb wallahu fuckbar
This is so cool, an easy module to use implement within statistical models on various probabilistic outcomes. I can't find a more useful channel on Python than yours.
Hey! I was the whole afternoon waiting to download the NLTK thingy. For those developers that live in a country with low speed internet connection (Like me), do not despair! :). Good video (Y) :)
You are the Python Guru! Keep up the good work, really liking the vids.
Stefan van der Leeden Thanks, glad you're enjoying! I have lots of fun making them.
thank you for the awesome tutorials. I don't usually write comments (laziness) but I wanted to for your videos, cause they are great. Please keep up the great stuff!
2020 attendence Here!
hello
Is it still relevant?
@@GradualReportSerbia Absolutely bro
he hearted it in 2020 too lol
He stated, "No other languages has libraries for natural language processing." R has 10 libraries.
Man you're awesome, I love your videos, thanks a lot for making such a great series on NLTK !
Thank you again for this easy introduction to NLTK which is very vauable for lazy people like me who get scared when they see the NLTK book :))) I've subscribed to the pythonprogramming site!
Absolutely brilliant. You understand what exactly the fans want!
Cheers!
mind blown. that globe visual chart is awesome
Your tutorial is simply awesome!! Thanks a thousand times for your initiative....Keep going! :)
You are a fantastic teacher. Thanks from Switzerland
it is time to update the videos on NLP, and introduce NNs with attention. Some intermediate tutorials on NLP would be beneficial.
I love your videos , the way you teach us it looks very easy to understand....When you smiles in between that add relaxation while learning...keep it up...Thanks
Great to hear!
very nice , fast yet good explanation, easy to understand . keep up the good work (y)
+Guhkun ccb Great to hear!
+sentdex perhaps you could make a tutorial on how to train tagger using corpus with another language than English. It will be great I think?
succes on training custom tagger, next : custom parser ( nlp is complicated, >.< )
Really awesome, was really easy to understand with only basic knowledge of NLP and Python. Thank you very much
Damn. Having watched your videos for a solid two years (or maybe three) years now, this is PRETTY old
Thank you for this great tutorial. I am actually new to Python and NLP. However, I found this tutorial to be increadibly easy to follow. Looking forward to watching the playlist.
Yes! Yes! I was waiting for this, Thank you very much.
Saurabh Deochake Yeah! I have been wanting to remake the NLTK series for a long time! Happy to share
amazing video. Best nlp tutorials i have found till date.
Thank you!
I really appreciate what you've done for python programming tutorial!
"Ptdrrrrr" is like "lol" in french. It's an acronym for "Pété de rire" which literally translates to "Broken from laughing". This is from a lot of french people commenting on funny content.
You are awesome for making this series!!
watching in 2020, you are awesome
Damn, you really do everything! This is great.
Now we have 2024, I didn't find something better, that this videos. It's maked retty good
awesome man thanks a lot.exactly this is what I was expecting ..you explain so good..keep the good work and keep sharing..god bless you man
Great to hear, glad you're enjoying!
HI @sentdex , since it's 2020 and there's quite an upgrade, what do you say about making a tutorial regarding NLP regarding all algorithms out there ? Like GPT-2 , BERT (just the popular ones)
Whatever else you would like to include .
Bravo. Great intro to NLP and its basic application. Subbed and liked.
Hey It’s great to learn from you and the way your teaching is amazing you cover almost everything that helping me a lot. Thank you so much
Dude is like takakakak and the sentence pops out without any spelling errors. Dayum bruh!!
thanks:) Your tutorial is really good for the beginners like me.
Your videos are actually amazing. This really helped a lot.
Great to hear!
thank you. little do you may know, you are building the future.
I learned with the old ones :D, nice that you are updating ;)
Rochbenritter Yeah, much needed update! First few videos in this one will be similar (pos tagging, named ent rec, chunking...etc), then we'll dive into some more interesting tasks like text classification, which the other one didn't quite do.
oh boy this is going to be an amazing series
ptdddrr comes from french is slang for 'peté de rire' which stands for 'broken from laughter'
Thanks for tutorial
Thank you for impressive tutorial videos.
Happy to share!
Great introduction to nltk.......!!!! Thank you!!!!
Watching from 2020, great explanation!
Great !! Lots of love from India.
谢谢!!
Thanks a lot man! This is exactly what I'm looking for, you really helped me a lot!! Thanks again! :D
Jiahong Lu Happy to share!
Give you millions of thank you!
Wow !!
It was so pleasing and soothe
Cool keep post more on every tech. you know
I just found your videos and started to watch these. I have a simple question. Does any of your videos cover topic modeling (LDA)?
I don't mean to be a complete douche, but 'corpora' is the plural form and 'corpus' is the singular. These are really useful videos, though, so thanks!
Sarah Pleef I am aware of the definitions. Not really sure why you felt the need to say this. Did I miss-speak somewhere in the video about this? It is also important to note that a "corpus" is almost always also a "corpora," and visa versa, unless it's literally one document.
Dude I love your videos. Thanks for sharing.
Nasseh Khodaie Great to hear! Happy to share.
pumped for this!
Hello Harrison, thanks for this short and practical NLTK introduction. As you kindly mentioned you would accept questions, so I have one: how do I proceed if I need to create a word and a sent tokenizer for a language not supported by the NLTK tokenizer? You mentioned a procedure involving unsupervised learning and a possibility to 'create an own language'. Could you please give me a hint how I shall start to do that? TIA.
Sir kindly make tutorials on these contents which are required for future with projects. Thanks??
Natural language processing using NLTK and Python
Module Contents:
• Basic text analysis with NLTK
• Text pre-processing
• Stopword removal
• Stemming and lemmatization
• Parts of speech tagging
• Chunking
• Named entity recognition
• Wordnet with NLTK
• Text classification
• Converting word to features
• Classifying text documents using NLTK
• Integration with scikit-learn classifiers
• Gensim
• Word2vec
• Investigating data biasness using NLTK
• Twitter sentiment analysis using NLTK
To the point explanation .
can anyone tell me what software he was using to plot the 3d graph at 2:22? thanks a lot, really appreciate
great video... very helpful.... (just a quick heads up, though: "corpora" is plural of "corpus," i.e., "body," in this case: "body of language content"). One corpus -> many corpora
Great kick start tutorial. Thanks a bunch!
16:28 print(word_tokenize(ex_text)) ---> is not parsing Mr. separately
o/p: 'Mr.Uchiha'
what am I missing something??
Edited: I see It separates when there is a space after "."
Timestamps
[ 00:00:47 ] NLTK is why I started learning Python
Hey man Thanks for the good work! Great videos!
Thank you man
I have learnt alot from your videos
Man you're the BEST!
holy crap, you have tutorials for everything
Hi, Which will be better for stock prices sentimental analysis
Bag of words
Tfidf
Also discussed with reason plz?
Looking forward to hearing from you soon!!
Great great video. I have a problem. When I am downloading all the packages, it stopped at the pantex lite package and the status said out of date. What should I do now
Awesome!! Perfect for starters!
Explanation is Good enough!
For Ubuntu users ( default is python 2.7.9 - to change that to 3.4+)
1.Create a document or (sudo gedit ~/.bash_alias)
2. Enter the alias for python or type "alias python=python3" in the document. Save and close
3. Then (source ~/.bash_alias)
Python switched to 3.4+
man no need to do that just type python3 in the terminal and that will do it and also for packages use pip3 if you want them to installed for python3
Install Anaconda or Miniconda and you will have everything you need!
Hw to apply tokenization on csv or txt file...which we hv saved in ur previous tutorials?
Thank you! watching in 2021.
Where's a good place to ask about nltk.download() on OSX. I can see from stack overflow that a lot of people have problems. None of the solutions they mentioned work for me.
Hi. Thank you for the video. I have a question is NLTK considered part of machine learning or it is a statistical way of applying NLP?
NICE video! Really help me a lot. Thanks!
Hi, Love these videos! Just wondering what the best way would be to make sense of data I had gathered from a flyer via OCR ie: organizing it into EVENT,DATE,LOCATION etc... do you think clunking?