The first part of this series explains typical steps that a survey analyst takes to prepare free-text comments for Natural Language Processing (NLP). In this part, we describe four methods by which a cleaned and standardized corpus lets NLP reveal insights.
1. Create a Word Cloud of Common Words
From the document-term matrix, software can total how many times each word appears in the corpus as a whole (all of the text questions’ combined text). A bar chart with the most frequent words can depict the totals. As in the chart below, which shows the frequently-used significant words in the first 25 posts from my blog, Savvy Surveys for Lawyers, this simple graph makes clear the thrust of the writing. The word “survey” leads the way with almost 250 appearances. At the bottom end, “people” appears about 40 times. Note that the words have not been lemmatized.
![](https://images.law.com/contrib/content/uploads/sites/397/2022/06/LTNBarplot-1024x1024.png)
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