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
@rangi5002 ай бұрын
I would love the no-music option too.
@impracticaldev Жыл бұрын
Would love a video on ELMo further. Thanks for all this!
@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.
@marten93347 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!
@Arriyad12 ай бұрын
Great explanation! Thank you! Pls. drop the music for next videos.
@cigdemtas99718 күн бұрын
Thank you for great explanation! Would love to see pre-trained word embeddings for sentiment analysis.
@TuhinBhattacharya2 жыл бұрын
Awesome overview.. Loved it.. Waiting for videos explaining GloVe and Elmo..
@AssemblyAI2 жыл бұрын
Great to hear you liked it!
@sajjaddehghani87352 жыл бұрын
great explanation. please explain elmo and other approaches. also please make a video about efficient ways of clustering the embeddings👍
@AssemblyAI2 жыл бұрын
Thank you Sajjad for the suggestion!
@KidistAmde8 ай бұрын
Excellent ! Thank you so much for making an absolutly clear explanation.
@Kmmc20112 жыл бұрын
Thanks for taking the time to break this down and share!
@AssemblyAI2 жыл бұрын
You are very welcome! - Mısra
@johnpuopolo441322 күн бұрын
Thanks for the explanation of word embeddings. Nicely done!
@deepaksingh93186 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..
@hadiloghman15722 жыл бұрын
great explanation. Please explain ELMO and GloVe. it was really great
@AssemblyAI2 жыл бұрын
Thank you for the suggestions!
@cimmik7 ай бұрын
@@AssemblyAII'd love to see those videos too
@augurelite Жыл бұрын
Wow such a good presenter. I really like the examples super clear. This stuff is amazing
@idrissnguepi7842 Жыл бұрын
Very nice explanation of embedding concept, Would love to see pre-trained word embeddings for sentiment analysis.
@diegovnoble5 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.
@berkk1993 Жыл бұрын
çok teşekkürler, bu kadar iyi anlatan başka video yok
@whifflingtove Жыл бұрын
Very interested in an in depth explanation of ElMo
@jeremymarkson14232 жыл бұрын
Would be great to see a video on Elmo!
@AssemblyAI2 жыл бұрын
Thank you for the suggestion, noted!
@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!
@lavanyaseetharaman Жыл бұрын
simple and clear explanation. please explain Elmo, thanks
@michaelng31268 ай бұрын
This was awesome. Would love to see Elmo video and sentiment analysis video you mentioned possibly making!
@Golboo12 ай бұрын
Thank you. Very good and complete explanation.
@estelitaribeiro41964 ай бұрын
Thanks! Great information in a very objective way!
@maysammansor2 ай бұрын
would love to see a video on building Elmo Embedding model. Thanks for this one
@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
@tommyhuffman74997 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!
@emandiab9524 Жыл бұрын
Thanks that helped a lot.
@AssemblyAI Жыл бұрын
Glad it helped
@JayTheMachine11 ай бұрын
thnak you soo much, amazing explaination and you beautiful
@yusufkemaldemir9393 Жыл бұрын
Interested in “Creating your own embedding before doing binary or multi label classification prediction”! Thanks for the clarity.
@UkiDLucas Жыл бұрын
Very good explanation, thank you!
@shubham-pp4cw2 жыл бұрын
nice video on word embedding keep it upp.............
@AssemblyAI2 жыл бұрын
Thank you!
@shubhamdas5192 Жыл бұрын
Great explanation in less amount of time. Really liked the video.
@AssemblyAI Жыл бұрын
That's great to hear!
@investime247 Жыл бұрын
Thank u very clear. Need to know how to use word embedding for text classification
@hamitguner7 ай 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!
@captainmustard1 Жыл бұрын
top video for embedding introduction
@soheiltehrani37922 жыл бұрын
Great visual, Great Voice , Good pace of presentation . Everything is awesome in this video. thanks for sharing :D
@AssemblyAI2 жыл бұрын
Thank you for the nice words Soheil! Glad it was helpful!
@Harduex7 ай бұрын
Great videos there, thank you for your content and keep up the good work!
@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❤
@nogur9 Жыл бұрын
It's a really good explanation, thank you very much :)
@AssemblyAI Жыл бұрын
You are welcome!
@bibhutibaibhavbora8770 Жыл бұрын
Great and very illustrative video
@nikitamalviya692 Жыл бұрын
Very well explained!! Thank you so much
@AssemblyAI Жыл бұрын
You're welcome!
@user-lq7rh4it7c 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 🙂
@HashimWarren4 ай бұрын
Very clear, thank you
@ShaikRaasikha217 ай бұрын
Video on Training a sentiment analysis model please
@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
@javidjamae11 ай бұрын
Yes, great video but music is definitely too loud and distracting! It's really hard to concentrate on what you're saying.
@dessiabdelkerym5612 Жыл бұрын
Thanks for the explanation please try to make a video about how ELMOS works
@leo-phiponacci2 ай бұрын
Thank you, I want to ask if there are any techniques that use Hidden Markov Models to represent the embeddings?
@yuanjunren52206 ай бұрын
amazing video!!!❣❣❣ Thanks for sharing
@kfirgollan Жыл бұрын
Great explanation! Thanks for sharing
@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
@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!
@sidindian19829 ай бұрын
@@AssemblyAI Pls provide the notebook code .. thnx
@AliZaki1401 Жыл бұрын
Great work !! Can you make a video on Elmo and Transformer-based word embeddings ???
@AssemblyAI Жыл бұрын
Great suggestion!
@MohamedElGhazi-ek6vp8 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.
@altantoksoz5999 Жыл бұрын
Great tutorial. She speaks like a native speaker. She looks like a Turkish girl, beautiful one :)
@danielcanedo5240 Жыл бұрын
I'm your fan already, please make an ELMo video....!!!
@AssemblyAI Жыл бұрын
Thank you for the suggestion!
@davidheilbron Жыл бұрын
Great! Thanks
@AssemblyAI Жыл бұрын
You're welcome!
@RiccardoCarlessoGoogle8 ай бұрын
This is amazing. Can you share the python notebook you show at 12m33s?
@automatster2 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.
@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.
@dalehu5606 Жыл бұрын
Clear explanation! 👍
@AssemblyAI Жыл бұрын
Glad you think so!
@PaulFishwickАй бұрын
Do you have a link to the Python notebook you go over at the end?
@tamoghnamaitra990111 ай бұрын
New crush added to life
@r.walid2323 Жыл бұрын
Great explanation
@AssemblyAI Жыл бұрын
Thank you!
@ali759889 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?
@hileamlakyitayew9450 Жыл бұрын
Awesome video!!
@user-wr4yl7tx3w Жыл бұрын
be great to see a video on Elmo.
@toshyamg Жыл бұрын
Great job 👍
@abdelazizkhalid4231 Жыл бұрын
is there a video about sentiment analysis yet?
@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 :)
@joergbieri9701 Жыл бұрын
Great content thanks. Due to a hearing problem I would appreciate it, if you could remove the backround music. Ok? Thanks
@HappyDataScience Жыл бұрын
i would surely like to learn elmo guessing that chatgpt used the same correct me if i'm wrong 🙇🏻♂️
@Abdullahkbc4 ай бұрын
finally, somebody proved the king-queen thing :D
@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.
@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)?
@brunam7908 Жыл бұрын
Waiting for the ELMo video.
@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
@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?
@TuhinBhattacharya2 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?
@pathikghugare2 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
@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!
@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
@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
@user-wr4yl7tx3w Жыл бұрын
Can the embeddings from Transformer be used elsewhere, like with Word2Vec?
@__________________________69102 жыл бұрын
Noice !
@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!
@mimori.com_ Жыл бұрын
Thank you. Easy to understand. But I don't need the music at all. I fight myself listening to the music than your talk.
@user-wr4yl7tx3w Жыл бұрын
Be interested in seeing a python example of Word2Vec.
@davidswearingen7571 Жыл бұрын
Another good video marred by the inclusion of unnecessarily loud music.
@andrewstrebkov650722 күн 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)
@hashemipeyman Жыл бұрын
Great!
@AssemblyAI Жыл бұрын
Thank you!
@YuraZavadenko Жыл бұрын
what about BOW?
@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!
@flaashmindstudio1468 Жыл бұрын
Can you make a video about ELmo?
@AssemblyAI Жыл бұрын
Noted!
@princegoyal18437 ай бұрын
Hi, Can you please tell you name. Going forward to learn more from you.
@HikmetYolcusu9 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.