|CSC 5993-001||Sentiment Analysis||Spring 2018|
||Meeting schedule tba (Mendel 160A)
|Instructor||Dr. Tom Way
160A Mendel Science Center
|Office hours||(See my web site)
|Textbook||None. We will use online resources.|
and follow the link for CSC 5993
In depth exploration of Sentiment Analysis. Natural language processing
theory and practice for applications to sentiment analysis and opinion
mining. Related topics in machine learning, Python programming and use of
the Natural Language Toollkit. Students will develop numerous Sentiment
Analysis tools and applications, conduct short-term research
projects in Sentiment Analysis, and produce a write-up of their results.
This independent study course explores the relatively recent field of Sentiment Analysis, a specialized form of natural language processing that attempts to reveal opinions expressed in written text. The course uses a project-based approach, with individual projects designed to introduce each topic or sub-topic through study and then implementation of ideas learned. Student progress will be assessed through individual project demonstrations and discussions, and through the completion of a research paper that summarizes the results of research conducted using the implemented projects.
This course is an introduction to Sentiment Analysis, with topics covered
including relevant aspects of machine learning and Python programming.
||Grading will be based evaluation of
projects, write-ups and individual exams.
||No missed or late assignments,
exams or projects without prior excuse. Each case will be handled separately
based on its own merits. Each student is responsible for what is covered and
assigned in any classes which they miss. Abuse of this policy will result in
a loss of leniency.
|Academic Integrity||Students will be expected to use good judgment in following the University's policy on Academic Integrity. Severe academic penalties will be imposed for violations of this policy, such as receiving at a minimum 0% credit for an assignment, or at the maximum a failing grade for the course, at the discretion of the instructor.|
Last updated: 01/15/2018