In the paper we present a method for the analysis of entity associations that real readers make in their reviews on goodreads.com, a social reading platform - and first results and insights of our analysis.
(2018) Reiter, Nils; Krautter, Benjamin; Pagel, Janis; Willand, Marcus
In this paper, we aim at identifying protagonists in plays automatically. To this end, we train a classifier using various features and investigate the importance of each feature. A challenging aspect here is that the number of spoken words for a character is a very strong baseline. We can show, however, that a) the stage presence of characters and b) topics used in their speech can help to detect protagonists even above the baseline.
