Sentiment Analysis

Sentiment Analysis

 

 
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Aim of Course:

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.

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

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:
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:
Options for Credit and Recognition:
Specialization:
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.
Course Text:
All materials will be made available in the course.
Software:
None
Instructor(s):

Dates:

To be scheduled.

Sentiment Analysis

Instructor(s):

Dates:
To be scheduled.

Course Fee: $469

Do you meet course prerequisites? What about book & software? (Click here to learn more)

We have flexible policies to transfer to another course, or withdraw if necessary (modest fee applies)

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.

This course may be scheduled on a contract basis. Please contact ourcourses@statistics.com to arrange.

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The Institute for Statistics Education is certified to operate by the State Council of Higher Education in Virginia (SCHEV).

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