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About the Tutorial

Language is a method of communication with the help of which we can speak, read and write. Natural Language Processing (NLP) is a subfield of Computer Science that deals with Artificial Intelligence (AI), which enables computers to understand and process human language.  

Audience 

This tutorial has been prepared for professionals aspiring to learn the complete picture of Natural Language Processing. This tutorial caters to the learning needs of both the novice learners and experts, to help them understand the concepts and implementation of NLP

Prerequisites

The learners of this tutorial are expected to know the basics of Python programming. Besides, they need to have a solid understanding of computer programing and fundamentals. If you are new to this arena, we suggest you pick up tutorials based on these concepts first, before you embark on with Natural Language Processing.

Copyright & Disclaimer 

@Copyright 2019 by BeingDatum. 

All the content and graphics published in this e-book are the property of Being Datum. The user of this e-book is prohibited to reuse, retain, copy, distribute or republish any content or a part of the contents of this e-book in any manner without written consent of the publisher. We strive to update the contents of our website and tutorials as timely and as precisely as possible, however, the contents may contain inaccuracies or errors. Being Datum provides no guarantee regarding the accuracy, timeliness or completeness of our website or its contents including this tutorial. If you discover any errors on our website or in this tutorial, please notify us at contact@beingdatum.com

Course Curriculum

Introduction
Audience for this Course 00:00:00
Deep Learning and Natural Language FREE 00:00:00
Where to get Data, & What are the classic NLP Problems FREE 00:00:00
Text Data Cleaning
Text Data Cleaning FREE 00:00:00
Advanced Topics
Bag of Words 00:00:00
What are N-Grams 00:00:00
Word Embedding 00:00:00
Embedding Layer 00:00:00
Part of Speech Tagging 00:00:00
Text Classification - Use Case
Text Classification 00:00:00
Topic Modelling
Topic Modelling 00:00:00
Assignment
Movie Review Assignment 00:00:00

Course Reviews

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  1. Well articulated!!

    5

    Nicely written and explained, hope to see such more contents from you Sir.

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