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With the .txt files I created a small python script to remove stopwords and lines. Then what I did was to use the nltk library https://www.nltk.org/ to tokenize the texts for each day of the trial. Then I simply pulled the frequency of the word in the text and added it to a google spreadsheet where I created the visualization.
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The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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