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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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[su_tab title = “Program Structure”]
- Text Analytics Overview
- IBM’s Text Analytics Engine
- Creating an Extractor using the Text Analytics Workflow Feature
- Creating an Extractor using a different method
- Deep Dive Into AQL Syntax
- Refining your Extractor
Fees:
Free
Duration:
5 hours
Part Time/Full Time:
Part Time
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[su_tab title = “Eligibility”]
- Basic knowledge of Eclipse IDE
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[su_tab title = “Contact”]
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