Synthesis of Systemic Functional Theory & Dynamical Systems Theory for Socio-Cultural Modeling.

摘要

This project has shown conclusively that mathematical modeling of complex data structures arising multimodal analysis of multimedia texts has potential for describing, identifying interpreting and forecasting socio- cultural patterns trends and instabilities through the identification of semantic patterns which are specific to different people, texts and situational contexts. The complex data structures are derived systemic functional theory (SFT) where linguistic, visual and audio resources are conceptualized as integrated systems of meaning. The approach moves beyond text analytics where concepts are derived from lexical choices to a holistic approach that takes into account the meaning arising from the interaction of language, images and audio resources. The approach has significant implications for discourse analysis, data mining, search and retrieval and visual analytics which currently lack theoretical frameworks to account for the interaction of language with other resources in texts.