2017 Fall CQADS Workshop Series
Text Mining and Natural Language Processing
23 October to 27 October, 2017. Each day consists of 2 hours of theoretical instruction in the morning, followed by 2 hours of practical work in the afternoon
An introduction to the basic concepts underlining Text Mining and Natural Language Processing. The application of these concepts will be illustrated through some
simple examples, along with a discussion of common challenges and pitfalls.
By the end of the workshop, participants will be able to appreciate the unique challenges encountered in the analysis of text documents, and to apply appropriate
data science models when presented with real-world data and text mining tasks.
Individuals who wish to understand the functionality and capabilities offered by some text mining and natural language processing methods, even if they won’t be the ones implementing them.
This workshop requires familiarity with the concepts presented in Introduction to Data Science (such as data visualization, classification, clustering). Some familiarity with computer
programming is also assumed, although expertise is not required
2. Basic Text Analysis (data preparation, simple comparison, visualization)
3. Kernel Methods
4. Text Mining Tasks (classification, clustering, sentiment analysis)
5. NLP Basics
6. NLP-Assisted Machine Learning (classification, clustering, sentiment analysis)
7. NLP Tasks (summarization, keyword extraction and topic modeling, markov chain generation, others)
Cost per participant: $1800 + HST
- free parking
- daily coffee, snacks, and lunch
- course materials
- 2-week access to the workshop Python/R Notebooks on the CQADS server
A limited number of fellowships are available to the Carleton community. Inquire at email@example.com for more information.
Online registration for this workshop opens on September 1, 2017 and closes on October 15, 2017 (select the F17: Text Mining and Natural Language Processing option).