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This seminar will provide an introduction to text analysis. Text-based data abounds on social media platforms, digital archives, and elsewhere, but it poses numerous challenges for modeling because it is highly unstructured. We will discuss basic concepts in text analysis (e.g. tokenization, n-grams, and creating a document-term matrix). The class will briefly introduce dictionary-based methods of text analysis and conclude by preparing students for more advanced topics in text analysis such as Latent Dirichlet Allocation and Word2Vec.

On the day before the session, all registrants will receive an e-mail with a link and meeting information. Please register at least 15 minutes prior to the start of the session to allow time for the system to generate a personalized e-mail with the access link.

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Status	Archived
Date	Wednesday, March 10th, 2021
Time	12:00pm - 1:00pm
Location	Virtual Classroom
Leader	Chris Bail
Enrolled	74