Thank you. It is very clear and informative, though i really think you (AssemblyAI) should lose the music on the background; it is distracting and it gives the whole thing an infomercial feeling.
@nirash8018
Жыл бұрын
Somehow the music had a motivational influence for me. I caught myself vibing to it a few times
@rangi500
3 ай бұрын
I would love the no-music option too.
@impracticaldev
Жыл бұрын
Would love a video on ELMo further. Thanks for all this!
@marten9334
8 ай бұрын
amazing video. Perfectly clear speech, good explanations, logical visualisations and the background music makes it a lot easier to focus. Thank you!!
@manojjoshi1102
Жыл бұрын
Excellent explanation. I did some study on this topic before coming here and the reason was because so many terms and concepts were quite overwhelming. I generally understood those but still missed the fine tuned clarity. After watching this video, most of what I read before started making a lot of sense. I highly recommend this video. Thank you so much.
@AssemblyAI
Жыл бұрын
This is great to hear! You are very welcome!
@Arriyad1
3 ай бұрын
Great explanation! Thank you! Pls. drop the music for next videos.
@originalmianos
Жыл бұрын
There are maybe 30 videos on this topic and this is the only one that does not suddenly make a massive jump across whole concepts that the presenter knows but the watcher does not.
@KidistAmde
9 ай бұрын
Excellent ! Thank you so much for making an absolutly clear explanation.
@sajjaddehghani8735
2 жыл бұрын
great explanation. please explain elmo and other approaches. also please make a video about efficient ways of clustering the embeddings👍
@AssemblyAI
2 жыл бұрын
Thank you Sajjad for the suggestion!
@deepaksingh9318
7 ай бұрын
Amazing Content.. Exactly what a learner wants .. to Have all the concepts in a single Video with easy to understand way in minimum time..
@johnpuopolo4413
Ай бұрын
Thanks for the explanation of word embeddings. Nicely done!
@augurelite
Жыл бұрын
Wow such a good presenter. I really like the examples super clear. This stuff is amazing
@TuhinBhattacharya
2 жыл бұрын
Awesome overview.. Loved it.. Waiting for videos explaining GloVe and Elmo..
@AssemblyAI
2 жыл бұрын
Great to hear you liked it!
@Kmmc2011
2 жыл бұрын
Thanks for taking the time to break this down and share!
@AssemblyAI
2 жыл бұрын
You are very welcome! - Mısra
@hadiloghman1572
2 жыл бұрын
great explanation. Please explain ELMO and GloVe. it was really great
@AssemblyAI
2 жыл бұрын
Thank you for the suggestions!
@cimmik
8 ай бұрын
@@AssemblyAII'd love to see those videos too
@lavanyaseetharaman
Жыл бұрын
simple and clear explanation. please explain Elmo, thanks
@cigdemtas997
Ай бұрын
Thank you for great explanation! Would love to see pre-trained word embeddings for sentiment analysis.
@berkk1993
Жыл бұрын
çok teşekkürler, bu kadar iyi anlatan başka video yok
@diegovnoble
6 ай бұрын
Thanks for the video! I've enjoyed watching and liked the format and pace. I'd add the retrowave background to my playlist if I knew the name. I guess that people would note it less if the volume was lower.
@idrissnguepi7842
Жыл бұрын
Very nice explanation of embedding concept, Would love to see pre-trained word embeddings for sentiment analysis.
@estelitaribeiro4196
5 ай бұрын
Thanks! Great information in a very objective way!
@TravelWithSalsa
3 ай бұрын
Thank you. Very good and complete explanation.
@lahiru954
Жыл бұрын
Great explanation! I went through the topics hours of hours. But this channel saved my time. And on target.
@AssemblyAI
Жыл бұрын
Great to hear!
@glowwell4292
Жыл бұрын
Thanks dear. Nicely paced intro. Good for recap.
@AssemblyAI
Жыл бұрын
Glad you liked it
@tommyhuffman7499
8 ай бұрын
The absolute best video I've seen on this topic!!
@draziraphale
Жыл бұрын
Excellent presentation. I will be teaching this topic to students shortly and will recommend this material.
@AssemblyAI
Жыл бұрын
Great to hear, thank you!
@michaelng3126
9 ай бұрын
This was awesome. Would love to see Elmo video and sentiment analysis video you mentioned possibly making!
@maysammansor
3 ай бұрын
would love to see a video on building Elmo Embedding model. Thanks for this one
@ehichamu
Жыл бұрын
Very Good video. I second the other comments. PLEASE drop the music completely. It would increase the quality of the experience by at least 70%. I had hard time finishing the video because of the music
@AssemblyAI
Жыл бұрын
Thanks, will do!
@ShubhamDasCoder
2 жыл бұрын
Great explanation in less amount of time. Really liked the video.
@AssemblyAI
2 жыл бұрын
That's great to hear!
@UkiDLucas
Жыл бұрын
Very good explanation, thank you!
@investime247
Жыл бұрын
Thank u very clear. Need to know how to use word embedding for text classification
@hamitguner
8 ай бұрын
Thank you
@AnthonyForde-l6o
Жыл бұрын
Brilliant video, as always, thanks so much. Would love to see your suggested follow on using pre-trained word embeddings for sentiment analysis if you ever have time 🙂
@emandiab9524
Жыл бұрын
Thanks that helped a lot.
@AssemblyAI
Жыл бұрын
Glad it helped
@whifflingtove
Жыл бұрын
Very interested in an in depth explanation of ElMo
@yusufkemaldemir9393
Жыл бұрын
Interested in “Creating your own embedding before doing binary or multi label classification prediction”! Thanks for the clarity.
@bibhutibaibhavbora8770
Жыл бұрын
Great and very illustrative video
@soheiltehrani3792
2 жыл бұрын
Great visual, Great Voice , Good pace of presentation . Everything is awesome in this video. thanks for sharing :D
@AssemblyAI
2 жыл бұрын
Thank you for the nice words Soheil! Glad it was helpful!
@JayTheMachine
Жыл бұрын
thnak you soo much, amazing explaination and you beautiful
@leo-phiponacci
3 ай бұрын
Thank you, I want to ask if there are any techniques that use Hidden Markov Models to represent the embeddings?
@nogur9
Жыл бұрын
It's a really good explanation, thank you very much :)
@AssemblyAI
Жыл бұрын
You are welcome!
@captainmustard1
Жыл бұрын
top video for embedding introduction
@jeremymarkson1423
2 жыл бұрын
Would be great to see a video on Elmo!
@AssemblyAI
2 жыл бұрын
Thank you for the suggestion, noted!
@kfirgollan
Жыл бұрын
Great explanation! Thanks for sharing
@Harduex
8 ай бұрын
Great videos there, thank you for your content and keep up the good work!
@smudgepost
Жыл бұрын
Yes - to all videos you suggest making! Great guide thank you.. was struggling to see value in lemmatization and concerned a bout a loss of coherence. Seeing several worked examples are great. Interested how the final results were all different but all had similarly high percentage match. How do you tackle this?
@vigneshpadmanabhan
Жыл бұрын
Well explained ! Thanks a lot
@AhmedKhaliet
Жыл бұрын
Thank youuuu it's my first video but I guess I should make your video my periorties I'm NLP thanks alot❤
@HashimWarren
5 ай бұрын
Very clear, thank you
@dessiabdelkerym5612
Жыл бұрын
Thanks for the explanation please try to make a video about how ELMOS works
@yuanjunren5220
7 ай бұрын
amazing video!!!❣❣❣ Thanks for sharing
@praveenbehara
Жыл бұрын
Hi.. thank you for the video.. great introduction and also a practical example.. One request is to drop or reduce the intensity of the music. It was distracting.
@AssemblyAI
Жыл бұрын
Noted! Thank you for the feedback Praveen
@javidjamae
Жыл бұрын
Yes, great video but music is definitely too loud and distracting! It's really hard to concentrate on what you're saying.
@shubham-pp4cw
2 жыл бұрын
nice video on word embedding keep it upp.............
@AssemblyAI
2 жыл бұрын
Thank you!
@lbognini
Жыл бұрын
From the embeddings of your name, I removed those of "work", added "great" and "relationship" and I came up with the embeddings of my own name? How come? Mere coincidence? 🤔🤔 Great video, btw!
@MohamedElGhazi-ek6vp
9 ай бұрын
Excellent Explanation. I have one question please how could I fit my model with this embedding vectors cause for Example in one of my projects for extracting informations from fils. instead of using texts for training my models I thinked of using embedding but I don't know the best way to represent them to my model . I hope u understand my question and thank you.
@dalehu5606
Жыл бұрын
Clear explanation! 👍
@AssemblyAI
Жыл бұрын
Glad you think so!
@AliZaki1401
Жыл бұрын
Great work !! Can you make a video on Elmo and Transformer-based word embeddings ???
@AssemblyAI
Жыл бұрын
Great suggestion!
@ShaikRaasikha21
8 ай бұрын
Video on Training a sentiment analysis model please
@davidheilbron
Жыл бұрын
Great! Thanks
@AssemblyAI
Жыл бұрын
You're welcome!
@r.walid2323
Жыл бұрын
Great explanation
@AssemblyAI
Жыл бұрын
Thank you!
@automatster
2 жыл бұрын
Great video. Thanks for sharing it. It would be great if you do a task like train sentiment analysis model with word embedding and share with us.
@altantoksoz5999
Жыл бұрын
Great tutorial. She speaks like a native speaker. She looks like a Turkish girl, beautiful one :)
@hileamlakyitayew9450
Жыл бұрын
Awesome video!!
@danielcanedo5240
Жыл бұрын
I'm your fan already, please make an ELMo video....!!!
@AssemblyAI
Жыл бұрын
Thank you for the suggestion!
@ali75988
10 ай бұрын
8:15 i am having problem with the sentence "no of neurons in hidden layer = size of embedding". i am confused what is size of embedding?
@jtauber
Жыл бұрын
I love that all your examples are Lord of the Rings quotes because I run the Digital Tolkien Project which applies computational text analysis techniques to the works of Tolkien :-)
@AssemblyAI
Жыл бұрын
That's amazing! Nice to meet you! Huge Tolkien fan here. :)
@jtauber
Жыл бұрын
@@AssemblyAI you should join the Digital Tolkien Project!
@sidindian1982
10 ай бұрын
@@AssemblyAI Pls provide the notebook code .. thnx
@toshyamg
Жыл бұрын
Great job 👍
@mariussame9357
Жыл бұрын
Thanks for the video I do have a question when you said that for instance in the CBOW there is only one layer it means that the ouput of this layer should be a vector of size dimension of the embedding but in order to train the model we need to compaire this output with the word in the midlle which is actually a one hot encoded vector of size dimension of the vocabulary so it migth have another layer and a softmax.
@RiccardoCarlessoGoogle
9 ай бұрын
This is amazing. Can you share the python notebook you show at 12m33s?
@Abdullahkbc
5 ай бұрын
finally, somebody proved the king-queen thing :D
@MartinJohannesNilsen
Жыл бұрын
Great video! As for your analogy, I would guess that changing cocktail to bar would indeed give you cocktail. The analogy of having dinner at a restaurant, is not matching to having bar at cocktail.
@joergbieri9701
Жыл бұрын
Great content thanks. Due to a hearing problem I would appreciate it, if you could remove the backround music. Ok? Thanks
@PaulFishwick
2 ай бұрын
Do you have a link to the Python notebook you go over at the end?
@lemoniall6553
Жыл бұрын
if we have a sentence "vishy eat bread". then we vectorize the word "eaat"(misspelled word), why does fasttext see that the word "eaat" is more similar to the word "eat"?. How is the architecture?, is it possible for fasttext without using skipgram to be able to classify words?. Thanks
@cimmik
Жыл бұрын
Would it be possible to use word embedding to ask if a text is about a certain topic (or rather to what degree a text is about a topic)?
@jenot7164
Жыл бұрын
How large should data for a custom embedding be and is it possible to utilize a GPU for the creation of a word embedding vector space?
@yigalirani308
Жыл бұрын
super helpful, but is there a version of this without the music?
@AssemblyAI
Жыл бұрын
Sorry about that! We got a lot of feedback in this. Let me see if we can upload without the music. :D
@HappyDataScience
Жыл бұрын
i would surely like to learn elmo guessing that chatgpt used the same correct me if i'm wrong 🙇🏻♂️
@j0nrages851
Жыл бұрын
Is there a sentiment training model video that builds from this? Trying to build a recommendation system based on candidate sentences and a job description
@AssemblyAI
Жыл бұрын
We don't have that video yet but thank you for the suggestion!
@TuhinBhattacharya
2 жыл бұрын
How do I know which embedding will be best choice for a specific use case? How do I know which distance measure will be best?
@pathikghugare
2 жыл бұрын
Depends on your use case, cuz lets say if your use case contains more in general words like tea, king, actor, etc. then you may try different embeddings and see for yourself which ones are working well for particular examples from your use case OR If your use case is quite specific, something like say representing skills as a vector then you may need to train your own word2vec model on your data since pretrained embeddings may not cover what you need
@abdelazizkhalid4231
Жыл бұрын
is there a video about sentiment analysis yet?
@user-wr4yl7tx3w
Жыл бұрын
be great to see a video on Elmo.
@davidswearingen7571
Жыл бұрын
Another good video marred by the inclusion of unnecessarily loud music.
@lexflow2319
Жыл бұрын
Do transformers from scratch. I heard they can be written in 50 lines. I would like to understand how bert encodes words
@HikmetYolcusu
10 ай бұрын
Why is there a background soundtrack during the lecture? Does it help with learning or focus? I find it kinda distracting and feel rushed.
@user-wr4yl7tx3w
Жыл бұрын
Can the embeddings from Transformer be used elsewhere, like with Word2Vec?
@zaratushtra21
Жыл бұрын
You should also add the name of the speak to videos. She says I in the video and we even do not know who is she :)
@iravkr
Жыл бұрын
Your pretty face holds my concentration, and thus I understand anything taught by you, especially transformer, more than any other youtube video..Thank you so much for such videos...indebted!
@EkShunya
Жыл бұрын
nice and crisp, just one suggestion "please remove background music", It is reductive to the viewers experience :)
@AssemblyAI
Жыл бұрын
Thank you! And noted!
@brunam7908
Жыл бұрын
Waiting for the ELMo video.
@moeal5110
Жыл бұрын
Awesome content but these background music are slightly distracting specially when you play video on 1.5 speed
@tamoghnamaitra9901
Жыл бұрын
New crush added to life
@hashemipeyman
Жыл бұрын
Great!
@AssemblyAI
Жыл бұрын
Thank you!
@andrewstrebkov6507
Ай бұрын
It is incorrect to say that German and Turkish are distinct because they are "morphologically rich languages". They are no more morphologically rich than any other language, roughly speaking. I think what you meant was that German and Turkish are much more agglutinative than many (most?) other modern languages. They have the same number of morphemes, roughly, but the morphemes are bound together in longer bound morphemic sequences (these languages have words consisting of a higher number of morphemes, on average, that are bound together)
@user-wr4yl7tx3w
Жыл бұрын
Be interested in seeing a python example of Word2Vec.
@juanantonionavarrojimenez2966
29 күн бұрын
I love "The lord of the rings" too. :)
@YuraZavadenko
Жыл бұрын
what about BOW?
@BrunoGarofalo-s3c
2 ай бұрын
great video, but the music in the background is driving me crazy. very distracting
@princegoyal1843
8 ай бұрын
Hi, Can you please tell you name. Going forward to learn more from you.
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