June 2023
Intermediate to advanced
326 pages
9h
English
Content preview from Natural Language Understanding with Python
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6
Exploring and Visualizing Data
Exploring and visualizing data are essential steps in the process of developing a natural language understanding (NLU) application. In this chapter, we will explore techniques for data exploration, such as visualizing word frequencies, and techniques for visualizing document similarity. We will also introduce several important visualization tools, such as Matplotlib, Seaborn, and WordCloud, that enable us to graphically represent data and identify patterns and relationships within our datasets. By combining these techniques, we can gain valuable perspectives into our data, make informed decisions about the next steps in our NLU processing, and ultimately, improve the accuracy and effectiveness of our analyses. ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.