Workshop: Introduction to NLP using NLTK and Python

Location:

Level: 
Beginner

When:

1:00pm - 4:00pm

Prerequisites

Please follow these installation instructions: http://bit.ly/2aLSHbR

Blogs, product reviews, news articles, physician reports, tweets - the digital universe provides a wealth of data analysis resources in the form of relatively untapped unstructured text.

This hands-on session will introduce attendees to the Natural Language ToolKit (NLTK), a Python-based library with a robust set of natural language processing (NLP) functionality.

The talk will guide attendees through several modules designed to demonstrate the use of various NLP techniques to analyze and explore real-world text-based data sets. Attendees will leave the talk equipped with the foundation and techniques to extract meaningful and useful information from their own data.

Key takeaways:

  • Introduction to natural language processing and text analytics
  • Hands-on experience with a robust NLP library in python
  • Application of NLP techniques on real-world data

Speaker: Amber McKenzie

Data Scientist @DialogTech

Amber McKenzie is a Data Scientist with DialogTech. She has a masters degree in Linguistics and a Ph.D. in Computer Science from the University of South Carolina and specializes in natural language processing (NLP). She previously worked for the Computational Data Analytics group at Oak Ridge National Laboratory and as the Lead Data Scientist for text analytics for a start-up data analytics firm. Amber has over 8 years experience in NLP working in varied projects spanning from helicopter maintenance to children services and in multiple sectors, including federal law enforcement, state government, military, commercial industry and healthcare.

Find Amber McKenzie at

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Tracks

Monday Nov 7

Tuesday Nov 8

Wednesday Nov 9