Machine Learning Text
Details
Overview of the 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 - not 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) part of speech identification, topic modeling, sentiment extraction, etc.
Course Schedule
10/26-11/2 - Introduction and Basic Text Manipulations
11/9-5/10 - Part of Speech Detection
11/16-11/17 - Topic Modeling
11/30 – 12/1 – Machine Translation
12/7 - 12/8 - Text Classification
This class will meet Wednesday and Thursday night from 7:00 pm until 9:00 pm. We'll offer the course remotely, if there's enough interest.
Here's an eventbrite link for those who want to pay by credit card before the event. http://machinelearningtext.eventbrite.com (http://machinelearningtext.eventbrite.com/)
We won't meet Thanksgiving week. Here are the class meeting dates.
Wed Thurs
Oct 26
Nov 2
Nov 9 Nov 10
Nov 16 Nov 17
Nov 30 Dec 1
Dec 7 Dec 8