The Four Keys to Natural Language Processing

[mitsumi]

The Four Keys to Natural Language Processing
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hours | Lec: 10 | 545 MB
Genre: eLearning | Language: English

Understanding the basics of Tokenization, POS Tagging & Lemmatizer, Named Entity Recognition, and Semantic Analysis

We ourliving in an amazing time. With the acceleration and growth oftechnology we are in a new age. With technology like Natural Language Processingwe are able to create and build applications that can change the world.We have the tools in the palm of our hands just needto understand howuse them.Learn and build applications on one of the most cutting edge technology fields today with this easy to understand course onthe Four Keys toNatural Language Processing.

Understand what is NLP and its effects on society
Dive in toFour of theKey pieces to NLP
Learn the how to they work while building them yourself
Get real life examples of NLPsystems and methods

With this course you will be able to understandwhyNLP is a drivingforce to change the way we interact with computers, learn from data, and solve problems.Many different forms of NLP arealready in everypart of our world and help us solve problems we haven't even thought of yet.
I designed this Natural Language Processingcourse to be easy to understand for beginners. We start the course off by talking about what NLP is and how you may actually beusingit everyday. Secondly we talk about one the most important keys to NLP, Tokenization. Thirdly we go over POS-tagging and Lemmatizer to crucial parts to manyNLP applications today. Then we go over Named Entity Recognition and its uses today. Lastly we learn about the final key in the course, Sentiment Analysis. Each section in the course has a code demo where we get you started on your first NLPapplication for all four of the NLPkeys. When we are finished with all the material. Iwill do a quick overview of the mostimportant parts and what you should take out of the course.
     

               
 

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