Natural Language Processing

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Course Overview

Natural Language Processing is the use of machine learning and data analysis to build models and reveal insights based on natural text data. This course is designed for experienced Python developers who want to learn how to apply state of the art Natural Language Processing frameworks and techniques, such as the open source frameworks SpaCy and NLTK, to any kinds of natural language text data. Students taking this course will discover the latest techniques in semantic analysis, topic modeling, text classification, and more!

Private classes on this topic are available. We can address your organization’s issues, time constraints, and save you money, too. Contact us to find out how.

Who Should Attend

Intermediate to experienced Python developers or experienced developers coming from another programming language.

Course Objectives

    • Learn to work with Text Files with Python
    • Learn how to work with PDF files in Python
    • Utilize Regular Expressions for pattern searching in text
    • Use Spacy for ultra fast tokenization
    • Learn about Stemming and Lemmatization
    • Understand Vocabulary Matching with Spacy
    • Use Part of Speech Tagging to automatically process raw text files
    • Understand Named Entity Recognition
    • Visualize POS and NER with Spacy
    • Use SciKit-Learn for Text Classification
    • Use Latent Dirichlet Allocation for Topic Modelling
    • Learn about Non-negative Matrix Factorization
    • Use the Word2Vec algorithm
    • Use NLTK for Sentiment Analysis
    • Use Deep Learning to build out your own chat bot

Course Outline

Handling Text with Python

  • Working with PDFs

Regular Expressions

Natural Language Processing

  • Tokenization
  • Stemming
  • Lemmatization

Part of Speech Tagging

  • Named Entity Recognition
  • Sentence Segmentation

Text Classification

Semantics and Sentiment Analysis

Topic Modeling

SpaCy

NLTK

Deep Learning for Natural Language Processing

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Class Dates & Times

Class times are listed Eastern time

This is a 2-day class

Class dates not listed.
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The classes listed are available to all United Training customers and does not reflect, in any way,
the availability or support of technology within the University of Maine System.