Qualtrics, LLC

Martin D Mumford

Amirali Abdullah

Robert David Norton

Bradley Tolman

Embodiments of the present disclosure generally relate to a content management system that automatically determines and generates topic clusters from a collection of electronic text documents. For example, the content management system analyzes a collection of electronic text documents to identify key terms and terms related to the key terms. Based on the key terms and related terms, the content management system generates a topic cluster that includes the key term and related terms. The content management system then organizes the electronic text documents based on terms within a given text document matching terms within a given topic cluster. Further, the content management system presents the topic clusters and organized electronic text documents to a user.

Recommending topic clusters for unstructured text documents

Embodiments of the present disclosure relate to collecting and analyzing electronic survey responses that include user-composed text. In particular, systems and methods disclosed herein facilitate collection of electronic survey responses in response to electronic survey questions. The systems and methods disclosed herein classify the electronic survey questions and determine a semantics model including customized operators for analyzing the electronic survey responses to the corresponding electronic survey questions. In addition, the systems and methods disclosed herein provide a presentation of the results of the analysis of the electronic survey responses via a graphical user interface of a client device.

Growing community of inventors

Provo, UT, United States of America

Martin D Mumford