Spring 2019 - CMPT 318 D100
Special Topics in Computing Science (3)
Class Number: 6515
Delivery Method: In Person
Overview
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Course Times + Location:
Jan 3 – Apr 8, 2019: Tue, 10:30–11:20 a.m.
BurnabyJan 3 – Apr 8, 2019: Thu, 9:30–11:20 a.m.
Burnaby -
Exam Times + Location:
Apr 12, 2019
Fri, 8:30–11:30 a.m.
Burnaby
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Prerequisites:
CMPT 225. Additional prerequisites to be determined by the instructor subject to approval by the undergraduate program chair.
Description
CALENDAR DESCRIPTION:
Special topics in computing science at the 300 level. Topics that are of current interest or are not covered in regular curriculum will be offered from time to time depending on availability of faculty and student interest.
COURSE DETAILS:
Text analytics as a sub-domain of data mining, the role of corpus linguistics, types, tokens, n-grams and parts-of-speech, readability, sentiment analysis and text classification. The rise of Big Data and the recognized potential of data mining and machine learning, have increased research attention on collections of text as a readily available data type.
In this course, students will be introduced to concepts and techniques for textual analysis, both as a basis for simple text mining and as input to text classification problems. Topics will include the roles and application of corpora, Unix-based techniques for quantitative analyses of textual data, part-of-speech tagging, document forensics, readability and sentiment analysis.
Topics
- The nature of textual analysis
- Corpus linguistics
- Words, types and tokens
- Working with n-grams
- Investigating a kidnapping
- Varieties of words
- Readability
- Sentiment analysis
- Text classification
Grading
NOTES:
Midterm exam 30%; Term paper 20%; Final exam 50% (tentative).
Materials
MATERIALS + SUPPLIES:
* Electronic readings will be assigned.
Registrar Notes:
SFU’s Academic Integrity web site http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the University community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the University. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the University. http://www.sfu.ca/policies/gazette/student/s10-01.html
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS