SoCQA: Socio-computational qualitative analysis

This project explored the application of Natural Language Processing (NLP) and Machine Learning (ML) tools to the context domain of organizational behaviour, more specifically to a study of group maintenance in a novel setting. The project involved information scientists working collaboratively with domain scientists with the goal of developing an innovative NLP and ML-based research tool to support qualitative social science research, specifically content analysis.

System design and development update

We're near the end of the 1st year of the grant and system development is progressing well, albeit a bit slower than we'd hoped. The high level system design is set and we've been implementing functionality in a series of sprints. By the end of the current sprint, we should have a basic system in place, allowing us to import email messages, import human annotations of some of the data from an Atlas-ti file, learn a model and apply the model to additional data. The final piece will be an interface to allow a human coder to correct the machine-applied annotations.

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