Semantic awareness in collaborative writing
Computer-supported collaborative work, particularly writing, has received attention since computers have been used for word processing. The objective of this project is to investigate approaches to provide information about the writing activity of a group writing collaboratively.
We do this by proposing functionalities that support new visualizations of the document and the members’ contributions based on text-mining techniques. We then develop machine algorithms to model appropriate aspects of the documents such coherence measures and topic coverage. These algorithms use vector representations of the documents (called ‘bag-of-words’ models) and feature selection algorithms that reduce the problem’s dimensionality. We then implement service-oriented architectures, which are integrated to web-applications designed to support academic writing, and collaborative work in general. Finally we evaluate the functionalities in real collaborative contexts.
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The opportunity ID for this research opportunity is: 275
Other opportunities with Associate Professor Rafael A. Calvo
- Automatic mapping of concepts and relationships
- Social network visualization in collaborative work and learning
- Multimodal emotion recognition
- Multimodal approaches for detecting attention in Human-Computer Interaction
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