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Intro Natural Language Text Mining Short Course

12/15/2012 9:30 AM - 4:30 PM

Intro to Natural Language Text Mining - Short Course

This class will cover machine learning applied to natural language text documents. We will cover the use of statistical algorithms for accomplishing machine learning tasks on texts. We won't cover more traditional rule-based semantics, parsing, etc.

We'll start with some introduction to the subject matter, comparison of statistical techniques to semantic approaches, definition of problems in text mining, and simple text manipulations. We'll cover various algorithms for dealing with standard text mining problems, such as indexing, automatic classification (e.g. spam filtering) topic modeling, classification etc.

Course Outline

Intro to text mining problems

R language background

Basic text manipulations


Stop words


Document - Term Matrix Processing

Formation and Basic Manipulations of Document-Term Matrix

Latent Semantic Indexing - Search

Topic Modelling - Clustering and Classification

Spam Detection.

Prerequisites - Programming experience is required. We'll use code examples to work through the material. We'll use R programming language so you should have R installed and R Studio. There will be a short intro to R for those who haven't used it. Other than that you'll only need general undergrad level background math.

There's a $100 discount if you sign up at least 5 days before the class starts.

Learn More: Intro Natural Language Text Mining Short Course

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