Language for Granted - Automatic Evalutation of the Language Used in Grant Applications
Abstract This thesis examines whether it is possible to ascertain a measurable difference between granted and refused grant applications with automatic methods. A corpus of project descriptions from the Swedish Science Council was examined with different classification techniques and using different linguistic features. A Naive Bayes classifier is shown to be a good predictor for this type of pro