We seek to apply data visualization techniques to help analyze large document collections from topic modeling methodologies. An abstraction of tens of million records from qualitative text sources and their comparative categorization in terms of prevalence, sentiment, and coherence. This project aims to help researchers obtain insights from previously unintelligible corpuses of text. This project will draw upon elements of natural language processing, sentiment analysis and data visualization in real-world industry applications.

Term
Spring 2020
Topic
Data Visualizations
Humanities
Industry/Economics