Company Filing History:
Years Active: 2015-2025
Title: Wenwen Dou: Innovator in Textual Data Analysis
Introduction
Wenwen Dou is a prominent inventor based in Charlotte, NC (US). She has made significant contributions to the field of computer-implemented methods for analyzing textual data. With a total of 2 patents, her work focuses on enhancing the interaction between users and complex data systems.
Latest Patents
Wenwen Dou's latest patents include a "Computer implemented method and system for integrative causal modeling" and "Methods and systems for the analysis of large text corpora." The first patent describes a hypergraph user interface that allows users to interact with systems for integrative causal modeling using natural language text. This innovative interface includes a natural language text input element and a causal hypergraph visualization element, enabling users to explore causal links and statements derived from textual data. The second patent outlines computerized methods for analyzing textual data, which involve formatting the data, applying probabilistic topic models, and generating various visual representations, such as topic clouds and document scatterplots.
Career Highlights
Wenwen Dou is affiliated with the University of North Carolina at Charlotte, where she continues to advance her research in data analysis and modeling. Her work has garnered attention for its practical applications in understanding large text corpora and enhancing user interaction with complex data systems.
Collaborations
Wenwen collaborates with notable colleagues, including Xiaoyu Wang and William Ribarsky. Their combined expertise contributes to the innovative research being conducted at the University of North Carolina at Charlotte.
Conclusion
Wenwen Dou is a trailblazer in the field of textual data analysis, with her patents reflecting her commitment to innovation and user-friendly technology. Her contributions are paving the way for advancements in how we interact with and understand large volumes of textual information.
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