Director of Data and Digital Scholarship
Digital Humanities
The phrase "digital humanities" is a broad term that refers to applying digital tools in humanities research.
Baylor's Data & Digital Scholarship team assists researchers in many departments to learn and design tools that facilitate fresh avenues for research.
Sentiment Analysis of "The Wind"
- Text Data Mining of Scarborough's "The Wind"
Text data mining tool that allows you to observe language patterns in Scarborough's "The Wind."
Sentiment analysis is a computational method used to assess and discern the emotional tone or subjective sentiment conveyed within a body of text. The Library's Data & Digital Scholarship team pulled the text of The Wind from HathiTrust and used spaCy to split the book into sentences and TextBlob to calculate sentiment score for each sentence.
How this tool works:
Filter by sentiment= range is -1 to 1
-.5 to -1 is most negative
-.5 to .5 is neutral
.5 to 1.0 is most positive
How to use this tool:
- Use the slider to control what section of text is being evaluated. i.e. which words have most positive or negative connotations
- Use the search box to look up individual words (ex. desert, horse)
- Use the HathiTrust ebook of The Wind to locate phrases and understand context
