Text Analytics Process
Text Analytics Process
Colossal amounts of unstructured data are generated every minute – internet users post 456,000 new tweets, 510,000 new comments on Facebook, and send 156 million emails – so managing and analyzing information to find what’s relevant becomes a major challenge for marketers. In this microlearning course, you will learn how text analytics can be used to transform unstructured data into quantitative insights. An in-person course would cost about US$1500.
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Includes:
Intermediate Level
14 Microlearning Sessions
214 min. of Experiential Content
98 Learning Actions
Group Discussions & Sharing
Offline Access
Lifetime Access via Mobile and Web
Digital Certificate shareable on LinkedIn
Session Overview
Before We Begin
What is Text Analytics?
The Text Analytics
Process Text
Tokenization Text Stopping
- Text Stemming
- Parts of Speech Tagging
- Text Lemmatization
- Text Parsing
- Named Entity Extraction
- Quick Review
- Representing Text Data for Mining
- TF-IDF
- Wrapping Up...
What is this 'Microlearning Course' about?
This course introduces participants to the process of text analytics and the various methods of text pre-processing and how text data can be represented in the text mining workflow.
Who is this course designed for?
Learners who have completed Introduction to Social Media Analytics and who are interested to learn how text data is represented and prepared for text analytics.
What will you take away?
At the end of this course, you will be able to:
Define the process of text analytics
Explain the process of information extraction
Explain the process of linguistic resources management and their roles in text analytics
Adapt linguistic resources to improve concept extraction
Beyond their core business of conducting full-time courses for students, Temasek Polytechnic is also committed to the practical re-skilling and professional development of adult learners. They believe in helping individuals and organisations equip themselves with the necessary skills to meet the challenges of a dynamic economy.
