Combining Computational Analyses and Interactive Visualization to Enhance Information Retrieval
Source: Georgia Institute of Technology
Exploratory search and information-seeking support systems attempt to go beyond simple information retrieval and assist people with exploration, investigation, learning and understanding activities on document collections. In this work the authors integrate several computational text analysis techniques, including document summarization, document similarity, document clustering, and sentiment analysis, within the interactive visualization system Jigsaw in order to provide a flexible and powerful environment for people to examine sets of documents. The focus is not on cutting edge algorithms for computational analysis but rather on the process of integrating automated analyses with interactive visualizations in a smooth and fluid manner.