Using Book Dialogues to Extract Emotions from Texts

Paweł Skórzewski

Abstract: Detecting emotions from a text can be challenging, especially if we do not have any annotated corpus. We propose to use book dialogue lines and accompanying phrases to obtain utterances annotated with emotion vectors. We describe two different methods of achieving this goal. Then we use neural networks to train models that assign a vector representing emotions for each utterance. These solutions do not need any corpus of texts annotated explicitly with emotions because information about emotions for training data is extracted from dialogues’ reporting clauses. We compare the performance of both solutions with other emotion detection algorithms.

External IDs:doi:10.1007/978-3-031-05328-3_16