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Method for identifying and quantifying sentiment bias, and apparatus for constructing the sentiment probability graph via agreeable cuts in sociotechnical networks

Description: This technology introduces a novel approach for analyzing social networks by evaluating sentiments between nodes (users or content) to detect bias and predict promotional opportunities. It constructs probability graphs from sentiments expressed as weights on edges between nodes, facilitating the identification of sentiment bias and influence...

Published: 4/14/2025 | Inventor(s): Jelena Tesic, Lucas Rusnak

Keywords(s): Bias Detection, Sentiment Analysis, Signed Graph Networks, Social and Content Networks

Category(s): Data/AI