Document Type

Paper

Publication Date

4-19-2023

Faculty Mentor

Hugo Montesinos-Yufa

Abstract

Text mining and text analysis is a way of understanding text documents using r coding that is more frequently used for numbered data. It helps with understanding portions of the text and drawing conclusions from there. This research looks specifically at the Adam Smith required documents that are used in the CIE course designated for freshmen. It looks at sentiments of the documents, including word sentiment, sentence sentiment, page and overall document sentiment as well. It provides visuals of word clouds to portray word frequency, tf-idf (which is explained in the presentation) and bigram analysis.

Comments

Presented as part of the Ursinus College Celebration of Student Achievement (CoSA) held April 19, 2023.

The downloadable file contains PowerPoint slides with audio commentary.

Based on work completed in the Advanced Topics course, STAT-451.

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Open Access

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