taught by Robert Munro and Nitin Indurkhya
This online course, “Sentiment Analysis,” 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.
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
WEEK 3: Opinion Retrieval and Spam
- Searching for Opinions
- Opinion Summarization
- Opinion Spam
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.
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.
ADVANCED / INTERMEDIATE - see prerequisites
prerequisites, you may be able to make do with just one of the two listed above.
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.
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.
About 15 hours per week, at times of your choosing.
Students come to the Institute for a variety of reasons. As you begin the course, you will be asked to specify your category:
- No credit - You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
- Certificate - 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.
- CEUs and/or proof of completion - 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, CEU's and a record of course completion will be issued by The Institute, upon request.
- Other options - Statistics.com Specializations, INFORMS CAP recognition, and academic (college) credit are available for some Statistics.com courses
Specializations are an easy way for you to demonstrate mastery of a specific skill in statistics and analytics. This course is part of the Text Mining and Analytics Specialization which gives a deep dive into text mining, natural language processing and sentiment analysis. Requires Python and some familiarity with Bayesian statistics. Take any three of the four Statistics.com courses on this topic (this course, plus the courses listed to the right under "related courses," not including conferences). For savings, use the promo code "text-specialization" and register for all three courses at once for $1197 ($399 per course, not combinable with other tuition savings). If you register for all four, you'll still receive the discounted rate.
All materials will be made available in the course.
Course Fee: $469
Do you meet course prerequisites? What about book & software? (Click here to learn more)
Group rates: Click here to get information on group rates.
First time student or academic? Click here for an introductory offer on select courses. Academic affiliation? You may be eligible for a discount at checkout.
Take 3 or 4 text analytics courses, save $100 per course (code text2016).
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.
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.
The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).
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