Sreekar Nedunuri

ORCID: 0009-0008-3603-8867
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About
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Research Areas
  • Biomedical Text Mining and Ontologies
  • Big Data and Business Intelligence
  • Semantic Web and Ontologies
  • Advanced Text Analysis Techniques
  • Software Engineering Techniques and Practices
  • Competitive and Knowledge Intelligence

University of North Carolina at Charlotte
2023

This article presents a state-of-the-art system to extract and synthesize causal statements from company reports into directed graph. The extracted information is organized by the relevance different stakeholder groups’ benefits (customers, employees, investors, community/environment). presented method of synthesizing data knowledge graph comprises framework that can be used for similar tasks in other domains, e.g. medical information. current work addresses problem finding,...

10.20944/preprints202305.0755.v1 preprint EN 2023-05-10

This article presents a state-of-the-art system to extract and synthesize causal statements from company reports into directed graph. The extracted information is organized by its relevance different stakeholder group benefits (customers, employees, investors, the community/environment). presented method of synthesizing data knowledge graph comprises framework that can be used for similar tasks in other domains, e.g., medical information. current work addresses problem finding, organizing,...

10.3390/info14070367 article EN cc-by Information 2023-06-28
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