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Sentiment Analysis

Instructor(s):

Dates:

August 29, 2014 to September 26, 2014

Thank you for your submission.

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 may be taken individually (one-off) or as part of a certificate program.

Course Program:

WEEK 1: Introduction and Subjectivity Analysis

  • Text Categorization concepts
  • Computational Linguistics concepts
  • Subjectivity Analysis

WEEK 2: Sentiment Extraction

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

WEEK 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.

In addition to assigned readings, this course also has supplemental readings available online.

Sentiment Analysis

Be sure you meet all of the minimum requirements before you register, click here to learn more.

Instructor(s):

Dates:
August 29, 2014 to September 26, 2014

Course Fee: $469

Tuition Savings:  When you register online for 3 or more courses, $200 is automatically deducted from the total tuition. (This offer cannot be combined and is only applicable to courses of 3 weeks or longer.)


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Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise.

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

Prerequisite:
These are listed for your benefit so you can determine for yourself, whether you have the needed background, whether from taking the listed courses, or by other experience.
This course covers a rapidly evolving field and the material is taken from academic publications, so mathematical maturity and the ability to read conference/journal papers are needed.  If you have some familiarity and comfort with the prerequisites, you may be able to make do with just one of the two listed above.
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


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