Digital Scholarship at UCSC Libraries

Text Analysis

Text analysis can consist of word counts, phrase usage, word clouds, prevalence of phrases or words throughout a document, comparing multiple documents, topic modeling, or natural language processing (such as sentiment analysis). The type of analysis you do will depend on what questions you want to as of your set of texts. We can help you get started using simple tools for basic analysis or put you on the right track to use more complex tools, such as R or Python, to leverage computational tools in your distant reading needs.