Sentiment Analysis

Instructor(s):

Dates:

August 30, 2013 to September 20, 2013 August 29, 2014 to September 26, 2014

Sentiment Analysis

taught by Nitin Indurkhya

Aim of Course:

This course is designed to give you an introduction to the algorithms, techniques and software used in sentiment analysis. Their use will be illustrated by reference to existing applications, particularly product reviews and opinion mining. The course will try to make clear both the capabilities and the limitations of these applications. For real-world applications, sentiment analysis draws heavily on work in computational linguistics and text-mining. At the completion of the course, a student will have a good idea of the field of sentiment analysis, the current state-of-the-art and the issues and problems that are likely to be the focus of future systems.

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

Data Analytics

Course Program:

SESSION 1: Introduction and Subjectivity Analysis

• Text Categorization concepts
• Computational Linguistics concepts
• Subjectivity Analysis

SESSION 2: Sentiment Extraction

• Topic Extraction
• Product Reviews
• Sentiment analysis of Comparative Sentences
• Applications

SESSION 3: Opinion Retrieval and Spam

• Searching for Opinions
• Opinion Summarization
• Opinion Spam
• Applications

HOMEWORK:

Homework in this course consists of short answer questions to test concepts.

Sentiment Analysis

Instructor(s):

Dates:
August 30, 2013 to September 20, 2013 August 29, 2014 to September 26, 2014
Course Fee: $399

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

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Sentiment Analysis

taught by Nitin Indurkhya

Who Should Take This Course:

Analysts, researchers and managers who deal with, or might need to deal with, Sentiment Analysis systems at a variety of levels - needs assessment, design, deployment and operation.

Level:

ADVANCED / INTERMEDIATE - see prerequisites

Organization of the Course:

This course takes place online at the Institute for 3 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

Credit:
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 3.75 CEU's and a record of course completion will be issued by The Institute, upon request.

Course Text:
All materials will be made available in the course.

Software:

None