Work

MBTI Personality Prediction for Fictional Characters Using Movie Scripts

Year: 2022

Type: conference-paper

Abstract: An NLP model that understands stories should be able to understand the characters in them.To support the development of neural models for this purpose, we construct a benchmark, Story2Personality.The task is to predict a movie character's MBTI or Big 5 personality types based on the narratives of the character.Experiments show that our task is challenging for the existing text classification models, as none is able to largely outperform random guesses.We further proposed a multi-view model for personality prediction using both verbal and non-verbal descriptions, which gives improvement compared to using only verbal descriptions.The uniqueness and challenges in our dataset call for the development of narrative comprehension techniques from the perspective of understanding characters. 1

Source: Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)

DOI: 10.18653/v1/2022.findings-emnlp.500

Authors: Yisi Sang, Xiangyang Mou, Mo Yu, Dakuo Wang, Jing Li, Jeffrey Stanton

Institutions: Syracuse University, Rensselaer Polytechnic Institute, Northeastern University, New Jersey Institute of Technology

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4385574134

FWCI: 1.041

Cites: 39

Cited by: 9

Related to: 10