Natural Language Processing (NLP) & Text Mining Tutorial Using NLTK | NLP Training | Edureka

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edureka!

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🔥 NLP Using Python (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") - www.edureka.co/python-natural...
This Edureka video will provide you with a comprehensive and detailed knowledge of Natural Language Processing, popularly known as NLP. You will also learn about the different steps involved in processing the human language like Tokenization, Stemming, Lemmatization and much more along with a demo on each one of the topics.
The following topics covered in this video :
1. The Evolution of Human Language
2. What is Text Mining?
3. What is Natural Language Processing?
4. Applications of NLP
5. NLP Components and Demo
Do subscribe to our channel and hit the bell icon to never miss an update from us in the future: goo.gl/6ohpTV
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How it Works?
1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each.
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
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About the Course
Edureka's Natural Language Processing using Python Training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learnt content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics and Machine Learning have been discussed.
This course is for anyone who works with data and text- with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in python programming language to enhance your learning experience.
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Who Should go for this course ?
Edureka’s NLP Training is a good fit for the below professionals:
From a college student having exposure to programming to a technical architect/lead in an organisation
Developers aspiring to be a ‘Data Scientist'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Text Mining Techniques
'Python' professionals who want to design automatic predictive models on text data
"This is apt for everyone”
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Why Learn Natural Language Processing or NLP?
Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users.
NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data.
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For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

КОМЕНТАРІ: 71
@edurekaIN
@edurekaIN 5 років тому
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka's NLP with Python course curriculum, visit our website: bit.ly/2QtxQj6
@dhrubkumar7359
@dhrubkumar7359 5 років тому
I got the slide link- www.slideshare.net/EdurekaIN/natural-language-processing-nlp-text-mining-tutorial-using-nltk-nlp-training-edureka?b=&from_search=2&qid=adda9f03-0bb8-4954-88d3-c5159b6afb17&v= Just share the jupyter notebook link please
@nafeesahmad2494
@nafeesahmad2494 4 роки тому
One of the best Video for NLP beginners.
@debanitadasgupta790
@debanitadasgupta790 5 років тому
too good .. thank you so much !!
@2006akkgmail
@2006akkgmail 5 років тому
Well done and nicely presented given the short time.
@phanikumarpalika8331
@phanikumarpalika8331 4 роки тому
Excellent Tutorial!! Thank you :-)
@muritalaadebayoisah9155
@muritalaadebayoisah9155 3 роки тому
Thank you for the in depth presentation.
@satwikagunishetty5819
@satwikagunishetty5819 4 роки тому
for corpora in lemmatiztion " corpus "
@honeeydrps
@honeeydrps 5 років тому
Very easy to follow....
@poojaaggarwal872
@poojaaggarwal872 3 роки тому
Thank you. Today I completed this tutorial, moreover I didn't get any error ; )
@sanckm
@sanckm 5 років тому
Awesome Presentation. Thank you for providing good basic information required for doing the research
@edurekaIN
@edurekaIN 4 роки тому
Thanks for the compliment, Shiv! We are glad you loved the video. Don't forget to subscribe our channel ukposts.info. Cheers!
@satyamsharma6440
@satyamsharma6440 5 років тому
Such a great into to nlp, very well explained, for this help , i am subscribing edureka! , keep up the good work:)
@edurekaIN
@edurekaIN 5 років тому
Thanks for appreciating our efforts! We are delighted to see learners like you on-board with us. Cheers!
@sanjeevi567
@sanjeevi567 5 років тому
I'm watch all your videos about artificial intelligence,deep and machine learning and blockchain thanks edureka team(great and nice explanation)No one can beat edureka....😎😎😎😍
@edurekaIN
@edurekaIN 5 років тому
Hey Sanjeevi, we are glad you feel this way. Do continue watching our videos and supporting our channel and stay tuned for future updates. Cheers!
@nehakhanzode8569
@nehakhanzode8569 3 роки тому
Thanks for sharing knowledge!
@PalaniRamu1
@PalaniRamu1 3 роки тому
Great session , Thanks for posting it
@sanjeevi567
@sanjeevi567 5 років тому
Fantastic....Nice
@waelhassan1911
@waelhassan1911 3 роки тому
Thanks Very well explained
@akhilkaushik1681
@akhilkaushik1681 5 років тому
Brilliant lecture sir... it was fun learning here
@edurekaIN
@edurekaIN 4 роки тому
Thanks for the appreciation, Akhil!
@mdriajuliislam3719
@mdriajuliislam3719 3 роки тому
Thank you😊.
@meghasaha6323
@meghasaha6323 4 роки тому
thank you so much for the video. I'm a beginner and I'm stuck in downloading the nltk library. Can u help me out?
@edurekaIN
@edurekaIN 4 роки тому
Thanks for watching the video, Megha! Your request shall be processed. Kindly drop in your email ID so we can reach you.
@kamakshijayaraman3747
@kamakshijayaraman3747 4 роки тому
Useful
@vamsitharunkumarsunku4583
@vamsitharunkumarsunku4583 3 роки тому
Clearly explained. Thank you
@edurekaIN
@edurekaIN 2 роки тому
Hey , Vamsi thanks for the compliment . stay connected with our channel .do subscribe and hit that bell icon and get notified from our channel
@bhanupriyatham668
@bhanupriyatham668 2 роки тому
is it possible to do text processing for multiple columns in the dataset ?
@flyeagle320
@flyeagle320 Рік тому
Wonderful tutorial it was . Thank you edureka!!
@edurekaIN
@edurekaIN Рік тому
Glad it was helpful!
@niranjanguptha2104
@niranjanguptha2104 5 років тому
thank u @edureka
@edurekaIN
@edurekaIN 5 років тому
Thank You Niranjan for checking out our channel. Do subscribe and hit the bell icon to never miss an update from us in the future. Cheers!
@kamalesha.p6965
@kamalesha.p6965 5 років тому
Great explanation
@malikumarhassan1
@malikumarhassan1 2 роки тому
great content !!! Please advise more content, I want to learn text mining in deep.
@edurekaIN
@edurekaIN 2 роки тому
Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
@anjanisuman6428
@anjanisuman6428 5 років тому
nice explanation
@edurekaIN
@edurekaIN 5 років тому
Thanks for the compliment, Suman. We are glad you loved the video. Do subscribe to the channel and stay tuned for future updates. Cheers!
@Mithu14062
@Mithu14062 Рік тому
Wonderful video with detailed explanation.
@edurekaIN
@edurekaIN Рік тому
Thank You 😊 Glad it was helpful!!
@AllinOne-vd9oy
@AllinOne-vd9oy 5 років тому
only you use PowerPoint or other s/w to edit slide
@sanjeevi567
@sanjeevi567 5 років тому
its enough becoz free videos from edureka for youtube users
@pungliyavithika843
@pungliyavithika843 Рік тому
Best ALWAYS!
@edurekaIN
@edurekaIN Рік тому
Glad you liked it!
@chittineediteja7330
@chittineediteja7330 4 роки тому
Great explanation!! Can you share that ipynb file
@edurekaIN
@edurekaIN 4 роки тому
Please share your email id.
@mvlad7402
@mvlad7402 3 роки тому
Very nice!
@edurekaIN
@edurekaIN 3 роки тому
Thank you! Cheers!
@piyushkavishwar6851
@piyushkavishwar6851 5 років тому
How to extract data from MS Excel for NLP?
@edurekaIN
@edurekaIN 5 років тому
Hi Piyush! "Using the openpyxl package you can read in all the sheets as dataframes like this: from openpyxl import Workbook from openpyxl import load_workbook workbook = load_workbook(filename = input_file_path) dict_of_all_sheets = {} for sheet_name in workbook.sheetnames: sheet = workbook[sheet_name] data_df = pd.DataFrame(sheet.values) name_of_sheet = sheet_name dict_of_all_sheets[name_of_sheet] = data_df If you only want to extract one sheet you can use the code as follows: from openpyxl import load_workbook workbook = load_workbook(filename = input_file_path) sheet = workbook[""your_sheet_name""]" Hope this is helpful.
@prakashk3002
@prakashk3002 2 роки тому
Wonderful tutorial, Thanks a lot for nice explanation, could you please send me the ipynb file
@edurekaIN
@edurekaIN 2 роки тому
Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
@monikaugale4756
@monikaugale4756 5 років тому
Can we use npl for text recognition
@edurekaIN
@edurekaIN 5 років тому
Hey Monika! Yes, one of the most common applications of NLP is text recognition.
@deepakchugh2627
@deepakchugh2627 2 роки тому
Hi, Great video. Please share the notebook used here.
@edurekaIN
@edurekaIN 2 роки тому
Hi great to hear from you :) please share your mail id ! so that we can share the data sheet with you :)Do subscribe the channel for more updates : )
@lafzurdutv2798
@lafzurdutv2798 5 років тому
corpus
@rishabhshah8845
@rishabhshah8845 5 років тому
google wave net is different or same nlp ?
@edurekaIN
@edurekaIN 5 років тому
Hey Rishabh, WaveNet is a deep neural network for generating raw audio. It was created by researchers at London-based artificial intelligence firm DeepMind. NLP is just natural language processing. Hope this helps!
@dhivyasrinivasan6187
@dhivyasrinivasan6187 2 роки тому
Very useful tutorial.. could you please send the notepad
@edurekaIN
@edurekaIN 2 роки тому
Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
@anujpratapsinghjadon9147
@anujpratapsinghjadon9147 5 років тому
word_len.lemmatize('corpora') Answer is corpus. Please clear it is correct or not.
@edurekaIN
@edurekaIN 4 роки тому
Hi Anuj, corpora stands for multiple corpus. So, it's correct.
@AmitKumar-ei1gg
@AmitKumar-ei1gg 3 роки тому
What is corpus and corpora in easiest way?
@edurekaIN
@edurekaIN 3 роки тому
A corpus is a large body of natural language text used for accumulating statistics on natural language text. The plural is corpora. Corpora often include extra information such as a tag for each word indicating its part-of-speech, and perhaps the parse tree for each sentence. Hope that solves your query.
@ravisamal3533
@ravisamal3533 4 роки тому
what if the reviews are not classified into positive and negative
@edurekaIN
@edurekaIN 4 роки тому
Hi Ravi, you can also specify your code to justify the neutral reactions.
@vyshnavidoke2699
@vyshnavidoke2699 2 роки тому
can you please share the ipynb file!
@edurekaIN
@edurekaIN 2 роки тому
We are happy that Edureka is helping you learn better ! We are happy to have learners like you :) Please share your mail id to share the data sheets :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
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