课程

Text Mining with Bag-of-Words in R

中级技能水平

更新时间 2024年5月

Learn the bag of words technique for text mining with R.

免费开始课程

RMachine Learning4 小时15 视频69 练习5,700 经验值44,242成就声明

创建您的免费帐户

或

继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。

深受数千家公司学习者的喜爱

培训2人或更多？

试用DataCamp for Business

课程描述

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.

先决条件

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 经验值

Understanding text mining

50 经验值

Quick taste of text mining

100 经验值

Getting started

50 经验值

Load some text

100 经验值

Make the vector a VCorpus object (1)

100 经验值

Make the vector a VCorpus object (2)

100 经验值

Make a VCorpus from a data frame

100 经验值

Cleaning and preprocessing text

50 经验值

Common cleaning functions from tm

100 经验值

Cleaning with qdap

100 经验值

All about stop words

100 经验值

Intro to word stemming and stem completion

100 经验值

Word stemming and stem completion on a sentence

100 经验值

Apply preprocessing steps to a corpus

100 经验值

The TDM & DTM

50 经验值

Understanding TDM and DTM

50 经验值

Make a document-term matrix

100 经验值

Make a term-document matrix

100 经验值

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.

Common text mining visuals

50 经验值

Test your understanding of text mining

50 经验值

Frequent terms with tm

100 经验值

Frequent terms with qdap

100 经验值

Intro to word clouds

50 经验值

A simple word cloud

100 经验值

Stop words and word clouds

100 经验值

Plot the better word cloud

100 经验值

Improve word cloud colors

100 经验值

Use prebuilt color palettes

100 经验值

Other word clouds and word networks

50 经验值

Find common words

100 经验值

Visualize common words

100 经验值

Visualize dissimilar words

100 经验值

Polarized tag cloud

100 经验值

Visualize word networks

100 经验值

Teaser: simple word clustering

100 经验值

3

Adding to Your TM Skills

In this chapter, you'll learn more basic text mining techniques based on the bag of words method.

Simple word clustering

50 经验值

Test your understanding of text mining

50 经验值

Distance matrix and dendrogram

100 经验值

Make a dendrogram friendly TDM

100 经验值

Put it all together: a text-based dendrogram

100 经验值

Dendrogram aesthetics

100 经验值

Using word association

100 经验值

Getting past single words

50 经验值

N-gram tokenization

50 经验值

Changing n-grams

100 经验值

How do bigrams affect word clouds?

100 经验值

Different frequency criteria

50 经验值

Changing frequency weights

100 经验值

Capturing metadata in tm

100 经验值

4

Battle of the Tech Giants for Talent

This chapter ties everything together with a case study in text mining for HR analytics.

Amazon vs. Google

50 经验值

Organizing a text mining project

50 经验值

Step 1: Problem definition

50 经验值

Step 2: Identifying the text sources

100 经验值

Step 3: Text organization

50 经验值

Text organization

100 经验值

Working with Google reviews

100 经验值

Steps 4 & 5: Feature extraction & analysis

50 经验值

Feature extraction & analysis: amzn_pros

100 经验值

Feature extraction & analysis: amzn_cons

100 经验值

amzn_cons dendrogram

100 经验值

Word association

100 经验值

Quick review of Google reviews

100 经验值

Cage match! Amazon vs. Google pro reviews

100 经验值

Cage match, part 2! Negative reviews

100 经验值

Step 6: Reach a conclusion

50 经验值

Draw conclusions, insights, or recommendations

50 经验值

Draw another conclusion, insight, or recommendation

50 经验值

50 经验值

Text Mining with Bag-of-Words in R

课程完成

获得成就证明

将此证书添加到你的 LinkedIn 档案、简历或履历中
在社交媒体和绩效评估中分享立即注册

加入超过19百万学习者，今天就开始Text Mining with Bag-of-Words in R！

创建您的免费帐户

或

继续操作即表示您接受我们的《使用条款》和《隐私政策》，并同意您的数据存储在美国。

通过 DataCamp for Mobile 提升您的数据技能

随时随地通过我们的移动课程和每日 5 分钟编程挑战提升技能。