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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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