Use Python and the Natural Language Toolkit to perform various NLP Tasks. Create Chatbots, text analyzers, classifiers, and more
About This Video
Easy-to-follow unique tutorial that shows you how to make your machine understand your language
Make your machine read, understand, and interpret natural language with the help of powerful algorithms and tools
Master parts of speech and semantic analysis, and resolve ambiguity with real-world …
Natural Language Processing in Practice
Video description
Use Python and the Natural Language Toolkit to perform various NLP Tasks. Create Chatbots, text analyzers, classifiers, and more
About This Video
Easy-to-follow unique tutorial that shows you how to make your machine understand your language
Make your machine read, understand, and interpret natural language with the help of powerful algorithms and tools
Master parts of speech and semantic analysis, and resolve ambiguity with real-world examples
In Detail
Natural Language Processing (NLP) offers powerful ways to interpret and act on spoken and written language. It can help you with tasks such as customer support enquiries and customer feedback analysis. As the quantity of data continues to grow at an incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations.
This course will help you gain this skill by practical demonstrations, clear explanations, and interesting real-world examples. It will give you a versatile range of deep learning and NLP skills that you can put to work in your own applications.
By the end of this tutorial, you’ll have a better understanding of NLP and will be able to transform data into actionable knowledge. You will also have worked on multiple examples that implement deep learning to solve real-world spoken-language problems.
Audience
This course is dedicated to developers who are comfortable with Python and know the basics of Machine Learning. This tutorial is an in-depth course to help you make your applications smarter by adding Natural Language Processing.
Chapter 1 : Getting Started with Natural Language Processing
Course Overview
Setup and Installation
Understanding NLP and Its Benefits
Exploring NLP Tools and Libraries
Chapter 2 : Dive into NLTK
Tokenization
Stop Words
Part of Speech Tagging
Stemming and Lemmatization
Named Entity Recognition
TF-IDF
Chapter 3 : Building a Sentiment Analyzer
Introduction to Sentiment Analysis
Pre-Processing the Dataset
Word Embeddings
Build the Network
Train the Model
Test the Model
Apply to a Single Input
Chapter 4 : Creating a Classifier
Machine Learning
Classification
Pre-Processing the Dataset
Naïve Bayes and SVM
Train the Classifier
Test the Classifier
Chapter 5 : Build Your Chatbot
Chatbots
Simple NLTK Bot
Create a ChatterBot
Enhancing the Chabot
Training the Chabot
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