Analysis of text-based resources can be very time and labor intensive. Consequently, many computational text-mining tools and methodological approaches have arisen, aimed at using machine-learning to more quickly and systematically parse the meanings and themes in text-based materials. Yet these machine-driven tools often cannot be trained well enough to recognize the nuanced and contextual themes and meanings in the texts, and thus tools that facilitate the human-driven mindful analysis of the texts are still necessary.
In this hands-on workshop we’ll use two specific text analysis tools – Voyant and NVivo – to explore the pros and cons of computational-driven text-mining and person-driven text-annotation. Attendees will gain introductory-level experience with these tools that will help them decide whether seeking more training would be advantageous for their research.