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B) Tokenization It is a process of separating (detachment) word (Characters group) from a given sentence or input, and they are generally refer as Token's.
Thank you, my teacher was teaching us this in class and I couldn't understand a thing. Now I understand perfectly 😀 By the way the answer is tokenization :)
Segmentation: Breaking the data in to sentences Tokenizing: breaking sentence to words Stop words : removing unnecessary words like and , the Stemming: same words with different prefix and suffix Lemmatization: showing the computer that different words can have same meaning
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B) Tokenization It is a process of separating (detachment) word (Characters group) from a given sentence or input, and they are generally refer as Token's.
Great video! I came across a Japanese script dataset on Kaggle and stumbled into the NLP world. I know 4 different languages/dialects so this should be fun!
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We're thrilled to have been a part of your learning experience, and we hope that you feel confident and prepared to take on new challenges in your field. If you're interested in further expanding your knowledge, check out our course offerings in the description box.
Natural language processing (NLP) allows AI to understand and respond to human language. This has applications in customer service, translation, and content creation.
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On paper words are separate distinct units but if you see the waveform of that there is no break between words . I read a sci fi novel for kids had a simplified piggin, which is a trade language used by the British in the colonies not grammatically correct with a restricted vocabulary, to communicate with Machines I suppose american will do just as good :) will do just as well
This material is a tour de force. A book I read that shared this tone left an indelible mark on my world view. "Game Theory and the Pursuit of Algorithmic Fairness" by Jack Frostwell
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We're thrilled to have been a part of your learning experience, and we hope that you feel confident and prepared to take on new challenges in your field. If you're interested in further expanding your knowledge, check out our course offerings in the description box.
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every day on all your favourite topics Have a good day!
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00:00 Machines can talk and respond like humans 00:41 NLP is a branch of AI that enables machines to understand human languages. 01:22 Natural Language Processing (NLP) saves time and money 02:00 NLP is easy to learn and involves segmenting documents. 02:40 Tokenizing and Removing Stop Words to Improve Learning Process 03:21 Text summarization involves base word identification, part of speech tagging, and named entity tagging. 04:01 NLP techniques are simple grammar techniques taught in school. 04:39 Learn AI and machine learning with SimplyLearn's postgraduate program in collaboration with IBM Crafted by Merlin AI.
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CONCENTRATION
Consecration
Sachiko satchi michiK
1. Segmentation
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Thanks for penning it for us
Thanks for it.
@@SimplilearnOfficial i learn data science in many many topic from your channel, thanks for those good video ❤️
Preciate you ✊😊
B) Tokenization
It is a process of separating (detachment) word (Characters group) from a given sentence or input, and they are generally refer as Token's.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
@@SimplilearnOfficial how long does this usually take For the AI to understand?
Thank you, my teacher was teaching us this in class and I couldn't understand a thing. Now I understand perfectly 😀
By the way the answer is tokenization :)
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Hi, if you don't mind sharing what course were you taking? and what subject. Thank you!
Segmentation: Breaking the data in to sentences
Tokenizing: breaking sentence to words
Stop words : removing unnecessary words like and , the
Stemming: same words with different prefix and suffix
Lemmatization: showing the computer that different words can have same meaning
Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
@@SimplilearnOfficial BTW thank you for this video, tmr is my AI exam and this helped me a ton !
b option is correct answer as tokenization is the process of separating individual words in a sentence.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
very welll explained sir and the ans is lemmatization
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B) Tokenization
It is a process of separating (detachment) word (Characters group) from a given sentence or input, and they are generally refer as Token's.
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
Hey ! The correct answer is "Tokenization".. your video's really helps me.. 👏👏
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
b) Tokenization
Tokenization is the process of separating individual words in a sentence.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Thank you for kindness. I would like to learn more.
Our pleasure!
This video helps me a lot in understanding NLP in basic level :D
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I think Tokensation should be correct. The video was very intresting Thanks.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Great video! I came across a Japanese script dataset on Kaggle and stumbled into the NLP world. I know 4 different languages/dialects so this should be fun!
I have to admit... the intro made me stay until the end
Glad you enjoyed it! Thnk you for watching!
Me too same
"Thank" 🕶️🥂
Imagine: casually redefining NLP, making it even less scientific in the process.
Mission accomplished😊
amazing lecture sir , mind blowing , it is abysmal
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@@SimplilearnOfficial sir do you know what abysmal means
So simple and clean to learn!
Its tokenization -> separating tokens or words from a sentence.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Thank you for the video. Answer for the question: Tokenization
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You Study Very Well
Thank You Sir
By the Tokenization is the Answer and it is used to divide sentence into words
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Tokenization is the NLP technique is used to obtain words of the sentences
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
B) Tokenization
Because it splits or detach the words from a sentence.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Gud video entire the youtube , I've learn easily. Thank u sir
Glad to hear that
best simple so far
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b) is answer i.e tokenization ........by tokenization we cut text into different word and also the punctuation marks are removed!
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
B. tokenization used to detect the words from a sentence
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
tokenization is used to absorb words from asentence.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Subscribed! Thanks to such a basic introduction 😊
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Does anyone know what coughing or staring or whispering or brighting or or gaslighting would mean in NLP?
Tokenization : is the process of (separating individual words) in a sentence.
Great Contents;
Answer - (b)
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words from sentences are obtain by tokenization
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
WHAT AN AMAZING VIDEO!!! Liked!!! 🎉
Thank you! Cheers!
Correct answer is b) Tokenization and each word is called token.
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
Stop the awful unnecessary background noise. We are trying to concentrate on the content!
He is at least teching
Better try to stop to focus on the music 🎶😅
Fr
Tokenization is used to obtain words from a sentence
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Natural language processing (NLP) allows AI to understand and respond to human language. This has applications in customer service, translation, and content creation.
Great content ❤
Ans : Tokenization
Admirably profound content; akin to a book that was profound and insightful. "Game Theory and the Pursuit of Algorithmic Fairness" by Author Name
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nope sore i just confused it would be tokenization >
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
B) Tokenization
Thanks a lot for the video ❤
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
thats it. im done. im asking an nlp how nlp’s work
the answer is tokenization
B. TOKENIZATION is the correct answer❤
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The answer is B, Tokenization
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
The algorythms are the techniques to collect the data and make it recognisable.
On paper words are separate
distinct units but if you see the waveform of that there is no break between words . I read a sci fi novel for kids had a simplified piggin,
which is a trade language used by the British in the colonies not grammatically correct with a restricted vocabulary, to communicate with
Machines I suppose american will do just as good :) will do just as well
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The right answer is
B) Tokenzation
Very interesting! Thank you!
Glad you liked it!
Tokenozation is used to divide sentence into words
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
This material is a tour de force. A book I read that shared this tone left an indelible mark on my world view. "Game Theory and the Pursuit of Algorithmic Fairness" by Jack Frostwell
Tokenisation is used to obtain words from the sentence.
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
The answer to the question will be tokenization.
Thank you!
You're welcome!
Your are best❤
Great explanation 👍
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B. TOKENIZATION is the correct answer
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
Segmentation was the break down of sentences.
Because those parts don’t get in contact with the sectioning line
Quiz answer : tokenization
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Amazing work!!! Thanks for your video.
Our pleasure!
Cognitive science would play a big role with data science
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The correct answer is Tokenization
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
a is the correct option
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
The answer is tokenizing
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
Great video
Glad you enjoyed it
The answer is tokenization
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
I'm new to ur channel. Loved the way you explain... I subscribed to learn more.. Thank you
Awesome! Thank you!
amazing!
Thanks
Welcome
I think you used AI for the Machine to read and explain all the topics in Video
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Great video and tokenization is the right answer
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Answer to question in video is Tokenizing.
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answer is B
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
E) It is not a technique but rather a protocol
Sorry the correct answer is option B - Tokenization. Tokenization is the process of separating individual words in a sentence.
Ans: Tokenizing
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
@@SimplilearnOfficial So can i get Gift coupon 😃
Great job
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Thank you 🙏🏻
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Superb
Thank you! Cheers!
Tokenization : is used to break sentences into words
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
00:00 Machines can talk and respond like humans
00:41 NLP is a branch of AI that enables machines to understand human languages.
01:22 Natural Language Processing (NLP) saves time and money
02:00 NLP is easy to learn and involves segmenting documents.
02:40 Tokenizing and Removing Stop Words to Improve Learning Process
03:21 Text summarization involves base word identification, part of speech tagging, and named entity tagging.
04:01 NLP techniques are simple grammar techniques taught in school.
04:39 Learn AI and machine learning with SimplyLearn's postgraduate program in collaboration with IBM
Crafted by Merlin AI.
tokenization is the answer
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
the answer is b) Tokenization
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
Wow it is nice explanation how to get pdf material nlp
We don't have any pdf of this particular video. For slides, you can check out our slideshare profile: www.slideshare.net/Simplilearn"
tokenization for breaking sentence into words !!
answer:tokenization
Great video!
Thank you for watching!
the answer to ur questin is Tokenization.
Tysm
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It's commonly known as neurolinguistic.
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What software did you use to create the animation? Anyone?
博主,能不能搞一个完整的教学视频?
b)tokenization
Segmentation 100%
Sorry the correct answer is option B - Tokenization. Tokenization is the process of separating individual words in a sentence.
The real question is, was this video made with NLP?
B tokenisation
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Answer: tokenization?
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence.
B - tokenizing
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
Tokenization is the right answer.
"Hello! You're absolutely right!. Tokenization is the correct answer.
Tokenization is the process of separating individual words in a sentence."
So cool
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