After doing these courses, I feel confident creating professional visualizations and dashboards
Shoebur RahmanProcurement Specialist, Giz Bangladesh
코스 설명
It is estimated that over 70% of potentially usable business information is unstructured, often in the form of text data. Text mining provides a collection of techniques that allows us to derive actionable insights from unstructured data. In this course, we explore the basics of text mining using the bag of words method. The first three chapters introduce a variety of essential topics for analyzing and visualizing text data. The final chapter allows you to apply everything you've learned in a real-world case study to extract insights from employee reviews of two major tech companies.
사전 요구 사항
커리큘럼
코스 개요
1
Jumping into Text Mining with Bag-of-Words
In this chapter, you'll learn the basics of using the bag-of-words method for analyzing text data.
- What is text mining?50 XP
- Understanding text mining50 XP
- Quick taste of text mining100 XP
- Getting started50 XP
- Load some text100 XP
- Make the vector a VCorpus object (1)100 XP
- Make the vector a VCorpus object (2)100 XP
- Make a VCorpus from a data frame100 XP
- Cleaning and preprocessing text50 XP
- Common cleaning functions from tm100 XP
- Cleaning with qdap100 XP
- All about stop words100 XP
- Intro to word stemming and stem completion100 XP
- Word stemming and stem completion on a sentence100 XP
- Apply preprocessing steps to a corpus100 XP
- The TDM & DTM50 XP
- Understanding TDM and DTM50 XP
- Make a document-term matrix100 XP
- Make a term-document matrix100 XP
2
Word Clouds and More Interesting Visuals
This chapter will teach you how to visualize text data in a way that's both informative and engaging.
3
Adding to Your TM Skills
In this chapter, you'll learn more basic text mining techniques based on the bag of words method.
4
Battle of the Tech Giants for Talent
This chapter ties everything together with a case study in text mining for HR analytics.
R
Text Mining with Bag-of-Words in R
코스
완료
