The University of North Carolina at Charlotte

Wenwen Dou

Wlodek Wlodzimierz Zadrozny

Xiaoyu Wang

Seethalakshmi Gopalakrishnan

William Ribarsky

Victor Zitian Chen

A hypergraph user interface for interaction with a system for integrative causal modeling from natural language text and including a natural language text input element configured to receive a designation of a natural language text file or such a file. The input element causes the designation or natural language text file to be communicated to at least one natural language processing module. The hypergraph user interface further includes a causal hypergraph visualization element representative of directed hypergraph data generated from the at least one natural language processing module. Selection of a hypergraph element of the causal hypergraph representation causes the hypergraph user interface to communicate an indication of the hypergraph element to a querying module and generate an informative element indicative of at least one of a causal link, a causal statement, or a sentence of the at least one natural text file on which the hypergraph element is based.

Computer implemented method and system for integrative causal modeling and transfer

Computerized methods and systems for the analysis of textual data, including: receiving, from one or more memories at one or more processors, textual data; using the processors, formatting the textual data for analysis and applying a probabilistic topic model to the textual data to extract semantically meaningful topics that collectively describe it; using a keyword weighting module, generating a topic cloud view representing the topics as a tagcloud with each being associated with a plurality of keywords; using a topic ordering module, generating a document distribution view representing a distribution of the textual data across multiple topics; using a document entropy calculation module, generating a document scatterplot view representing how many topics are attributable to the textual data; using a temporal topic trend calculation module, generating a temporal view representing changes in the occurrence of topics over time; and displaying one or more of the views to a user.

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Charlotte, NC, United States of America

Wenwen Dou