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Natural Language Processing with Python [Video]

Natural Language Processing with Python: Master the NLTK library in Python from scratch! [Video]

By Tyler Edwards
$130.99
Video Dec 2017 1 hours 47 minutes 1st Edition
Video
$130.99
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$15.99 Monthly
Video
$130.99
Subscription
$15.99 Monthly

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Product Details

Publication date : Dec 29, 2017
Length 1 hours 47 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781787286085
Category :
Data
Languages :
Python (Expert)
Concepts :
Natural Language Processing
toc View table of contents toc Download Code

Key benefits

  • • Comprehensive guide showing how textual data can be analyzed using the Natural Language Toolkit (NLTK)
  • • Build your own NLP applications, such as a sentiment analyzer, and learn how to carry out information extraction on text datasets
  • • Discover how Natural Language Processing can be used to investigate contextual relationships in human language

Description

NLP, or Natural Language Processing, is a computational approach to communication. This course will get you up-and-running with the popular NLP platform called Natural Language Toolkit (NLTK) in no time. You will start off by preparing text for Natural Language Processing by cleaning and simplifying it. Then you will implement more complex algorithms to break this text down and uncover contextual relationships that reveal the meaning and content of the text. You will learn how to tokenize various parts of sentences, and how to analyze them. You will learn about semantic as well as the syntactic analysis of text. During this course, you will learn how to solve various ambiguities in processing human language. You will also gain experience with NLP using Python and will be introduced to a variety of useful tools in NLTK. Plus, you will have an opportunity to build your first NLP application! By the end of this course, you will have the skills and tools to begin solving problems in the growing field of Latent Semantic Analysis The code files and all related files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Natural-Language-Processing-with-Python-Video-

What you will learn

* Installing and setting up NLTK, and how to implement simple NLP tasks * The foundational concepts of part-of-speech tagging * Stemming, lemmatization, and named-entity recognition (NER) * Discover how to create frequency distributions on your text with NLTK * Analyze text and classify it into different categories * Use functions to implement concordance, similarity, dispersion plotting, and counting in NLTK to easily mine information from large heaps of textual data * Build your own movie review sentiment application in Python * Learn how to classify user reviews as positive or negative with sentiment analysis * See how your application, based on bag-of-words, can retrieve meaningful information * Apply Latent Semantic Analysis to extract the meaning of the text in response to user queries * Use Long Shot Term Memory to analyze sequential data in your NLP applications

What do you get with a video?

Feature icon Download this video in MP4 format
Feature icon Access this title in our online reader with advanced features
Feature icon DRM FREE - Read whenever, wherever and however you want
Buy Now

Product Details

Publication date : Dec 29, 2017
Length 1 hours 47 minutes
Edition : 1st Edition
Language : English
ISBN-13 : 9781787286085
Category :
Data
Languages :
Python (Expert)
Concepts :
Natural Language Processing

Table of Contents

4 Chapters
Getting Started with NLP in Python Packt Packt
The Course Overview
Installing and Setting Up NLTK
Implementing Simple NLP Tasks and Exploring NLTK Libraries
Part-Of-Speech Tagging
Stemming and Lemmatization
Named Entity Recognition
More on NLTK Packt Packt
Frequency Distribution with NLTK
Frequency Distribution on Your Text with NLTK
Concordance Function in NLTK
Similar Function in NLTK
Dispersion Plot Function in NLTK
Count Function in NLTK
Building Your Own NLP Application Using Python NLTK Packt Packt
Introduction to Recurrent Neural Network and Long Short Term Memory
Programming Your Own Sentiment Classifier Using NLTK
Perform Sentiment Classification on a Movie Rating Dataset
Latent Semantic Analysis Packt Packt
Starting with Latent Semantic Analysis
Programming Example of Principal Component Analysis
Programming Example of Singular Value Decomposition

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Authors (1)

Profile Tyler Edwards
Tyler Edwards is a senior engineer and software developer with over a decade of experience creating analysis tools in the space, defense, and nuclear industries. Tyler is experienced using a variety of programming languages (Python, C++, and more), and his research areas include machine learning, artificial intelligence, engineering analysis, and business analytics. Tyler holds a Master of Science degree in Mechanical Engineering from Ohio University. Looking forward, Tyler hopes to mentor students in applied mathematics, and demonstrate how data collection, analysis, and post-processing can be used to solve difficult problems and improve decision making.
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