Understanding patterns, and training students to automatically see them, is the most important objective of courses in analytical subjects. For many forms of analysis, the relevant patterns are much easier to grasp if they are displayed visually. Therefore students today still use pen and paper when engaged in these forms of analysis. With knowledge from philosophy and informatics, the project group aims to make an interactive digital environment for textual analysis, supporting visualization in the manner students and professors currently do with pencils and sheets of paper. We would also like to employ the data generated from these analyses to develop innovative machine learning technology. The main aim of the project is to develop a functional platform for analysing text. The biggest challenge is going to make analysis intelligible, fun and engaging to students through a digital medium. The team is comprised of three students of informatics with different skill-sets. Anders has a deep familiarity with machine learning methods in language technology, and is currently writing a masters degree on machine analysis. Andreas has experience as a fullstack developer and has made webapplications from scratch before. He is also familiar with modern UX design. Paal has a masters degree in philosophy, and has a deep familiarity with linguistics and logic. The team is motivated to work on the project because they believe it might help the public debate climate, and because they think the idea might be the backbone of a new generation of machine analysis services. The academic institution helps with relevant expertise and a work environment through insj. The support from Forskningsrådet will be used to develop an MVP that will be refined throughout the project period. This will result in a fully functional platform by the beginning of the fall semester of 2021.
Project leader: Anders Næss Evensen
Institution: DISPUTAS AS