with James Priebe
Analysts, developers, and administrators who are interested in text analytics.
Time to complete:
The analysis of emails, blogs, tweets, forums and other forms of unstructured text data constitutes what we call text analytics. Text analytics is applicable to most industries; for example, if your company is suspicious about company secrets being leaked to competitors by employees, text analytics can help analyze millions of employees’ emails. If you would like to find common pain points your customers face when using your products, you can analyze their comments and questions in forums. If you would like to measure positive or negative perceptions of a company, brand, or product, you can perform sentiment analysis using text analytics. This course teaches you the basics of text analytics.
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This course was tested and validated for v3 of the QSE VM. Please download the v3 VM to complete the lab exercises.
After completing this course, you should be able to:
Before taking this course, you should have the following background:
The minimum passing mark for the course is 60%, where the final test is worth 100% of the course mark. You have 3 attempts to take the test