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

Share it with your friends Like

Thanks! Share it with your friends!

Close

** NLP Using Python: – https://www.edureka.co/python-natural-language-processing-course **
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: https://goo.gl/6ohpTV

———————————————————————————————————
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Instagram: https://www.instagram.com/edureka_learning/
———————————————————————————————————

– – – – – – – – – – – – – –

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 24×7 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!

– – – – – – – – – – – – – –

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.

————————–

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”

———————————

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.

———————————

For more information, please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll-free).

Comments

edureka! says:

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: http://bit.ly/2QtxQj6

Punit Nandi says:

corpus for corpora

crazy megha says:

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?

Chittineedi Teja says:

Great explanation!! Can you share that ipynb file

Yong C. Kim says:

Am happy to see the opportunity for me to get into the NLP application. However, I confront at the very beginning tutorial … [2] print(os.listdir(nltk.data.find("corpora"))) command statement doesn't work out as you showed. Can I get though this trouble, pls.

Ravi Samal says:

what if the reviews are not classified into positive and negative

Anuj Pratap Singh jadon says:

word_len.lemmatize('corpora') Answer is corpus. Please clear it is correct or not.

Monika Ugale says:

Can we use npl for text recognition

Akhil Kaushik says:

Brilliant lecture sir… it was fun learning here

Satyam Sharma says:

Such a great into to nlp, very well explained, for this help , i am subscribing edureka! , keep up the good work:)

Debanita Dasgupta says:

too good .. thank you so much !!

Anjani Suman says:

nice explanation

akkgmail says:

Well done and nicely presented given the short time.

Piyush Kavishwar says:

How to extract data from MS Excel for NLP?

Oyinkansola Amusa says:

Very easy to follow….

Kamalesh A.P says:

Great explanation

Shivaprasad Kalmutt says:

Awesome Presentation. Thank you for providing good basic information required for doing the research

Write a comment

*