TEXT MINING VISUALIZATIONS

• Activity Number: 671 - Network Analysis, Text Mining and Bayesian Functional Clustering: Data Visualization and Other Considerations
• Type: Contributed
• Date/Time: Thursday, August 2, 2018 : 10:30 AM to 12:20 PM
• Sponsor: Section on Statistical Graphics
• Author(s): Kellie Keeling*
• Companies: University of Denver
• Keywords: Text Mining; Graphics; Topic Modeling; Semantic Analysis

Abstract

This paper explores information visualization techniques for presenting the results of text and document analysis using R. Often the use of visualizations can help with quicker comprehension of the data contained in text. The visualizations will be presented grouped based on the types of analyses conducted: document similarities, text content, and semantic analysis. Packages such as tidytext, mallet, and ggplot2 will be explored.