14. Word Clouds | Data Visualization with Python | Tech2Teach

Publicado el: 21 enero 2021
en el canal de: Tech2Teach

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In this video, we will learn about another advanced visualization tool: the
word cloud. So what is a word cloud? A word cloud is simply a depiction of the
importance of different words in the body of text. A word cloud works in a
simple way; the more a specific word appears in a source of textual data the
bigger and bolder it appears in the world cloud. So given some text data on
recruitment, for example, we generate a cloud of words like this. This cloud is
telling us that words such as recruitment, talent, candidates, and so on,
are the words that really stand out in these text documents. And assuming that
we didn't know anything about the content of these documents, a word cloud
can be very useful to assign a topic to some unknown textual data. Unfortunately,
just like waffle charts, Matplotlib does not have a built-in function to generate
word clouds. However, luckily a Python library for cloud word generation that
was created by Andreas Mueller is publicly available. So, in the lab session
we will learn how to use Mueller's word cloud generator and we will also create
interesting word clouds superimposed on different background images.
The library has two words, (word cloud) and that explains a lot of it. It allows us to create a visual representation of words into a cloud. The cloud can be any form/shape that is specified by the user and the default one is a simple rectangular form. In the video, I use not only wordcloud, but also the matplotlib and numpy library.

I worked with the WordCloud library in the past days, so I decided to make a video to explain how it works, what it can be used for, but also its limitations.

WordCloud package for Python is a very simple library and can be used to create a lot of interesting visual representations. Remember, it is all about having the right balance between content and appearance.

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