Cunningham, EoghanEoghanCunninghamGreene, DerekDerekGreene2024-05-082024-05-082020-12-08http://hdl.handle.net/10197/25891The 28th Irish Conference on Artificial Intelligence and Cognitive Science (AICS2020), Dublin, Ireland (held online due to coronavirus outbreak), 7-8 December 2020This work applies active learning to the novel problem of automatically classifying user-generated logbook comments, published in online rock climbing forums. These short comments record details about a climber’s experience on a given route. We show that such comments can be successfully classified using a minimal amount of training data. Furthermore, we provide valuable insight into real-world applications of active learning where the cost of annotation is high and the data is imbalanced. We outline the benefits of a model-free approach for active learning, and discuss the difficulties that are faced when evaluating the use of additional training data.enMachine learning & statisticsConference Publication2020-11-17SFI/12/RC/2289 P2https://creativecommons.org/licenses/by-nc-nd/3.0/ie/