Gopalakrishnan S, Chen VZ, Dou W, Hahn-Powell G, Nedunuri S, and Zadrozny WW. 2023. Text to causal knowledge graph: A framework to synthesize knowledge from unstructured business texts into causal graphs. Information, 14(7), 367-382.
See also, US Patent Pending No. US20240185491A1 "Computer implemented method and system for integrative causal modeling and transfer"
Chen, V. Z., Montano-Campos, F., Zadrozny, W., & Canfield, E. (2021). Machine Reading of Hypotheses for Organizational Research Reviews and Pre-trained Models via R Shiny App for Non-Programmers. Preprint arxiv.org/abs/2106.16102.
For programmers: Github Repo
For non-programmers: Launch pre-trained models via a free R shiny app
Gopalakrishnan S., Chen, V.Z., Hahn-Powell, G., Tirunagar, B. (2021). Computer-assisted construct classification of organizational performance concerning different stakeholder groups. Preprint arxiv.org/abs/2107.05133
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GoPeaks has ended its commercial activities since April 2022, but remains a personal website of its founder Dr. Victor Chen. Nothing published on GoPeaks represents his formal affiliation.
Funded through a hybrid model of grants, gifts, and technology commercialization, GoPeaks started as a collection of research and technology development to accelerate and scale knowledge synthesis into real-world decision solutions. It is especially focused on knowledge graph-based prescriptive (causal) analytics. By grounding its solutions to improve multi-stakeholder performance management, its goal is to build a shared world brain serving broad interests of people and society. Please use the content on the GoPeaks website for non-commercial, educational purposes only.
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