Leveraging Empathy, Distress, and Emotion for Accurate Personality Subtyping from Complex Human Textual Responses
Soumitra Ghosh, Tanisha Tiwari, Chetna Painkra, Gopendra Vikram Singh, Asif Ekbal
Abstract
Automated personality subtyping is a crucial area of research with diverse applications in psychology, healthcare, and marketing. However, current studies face challenges such as insufficient data, noisy text data, and difficulty in capturing complex personality traits. To address these issues, including empathy, distress, and emotion as auxiliary tasks in automated personality subtyping may enhance accuracy and robustness. This study introduces a Multi-input Multi-task Framework for Personality, Empathy, Distress, and Emotion Detection (MultiPEDE). This framework harnesses the complementary information from empathy, distress, and emotion tasks (auxiliary tasks) to enhance the accuracy and generalizability of automated personality subtyping (the primary task). The model uses a novel deep-learning architecture that captures the interdependencies between these constructs, is end-to-end trainable, and does not rely on ensemble strategies, making it practical for real-world applications. Performance evaluation involves labeled examples of five personality traits, two classes each for personality, empathy, and distress detection, and seven classes for emotion detection. This approach has diverse applications, including mental health diagnosis, improving online services, and aiding job candidate selection.- Anthology ID:
- 2023.icon-1.68
- Volume:
- Proceedings of the 20th International Conference on Natural Language Processing (ICON)
- Month:
- December
- Year:
- 2023
- Address:
- Goa University, Goa, India
- Editors:
- Jyoti D. Pawar, Sobha Lalitha Devi
- Venue:
- ICON
- SIG:
- SIGLEX
- Publisher:
- NLP Association of India (NLPAI)
- Note:
- Pages:
- 679–695
- Language:
- URL:
- https://aclanthology.org/2023.icon-1.68
- DOI:
- Cite (ACL):
- Soumitra Ghosh, Tanisha Tiwari, Chetna Painkra, Gopendra Vikram Singh, and Asif Ekbal. 2023. Leveraging Empathy, Distress, and Emotion for Accurate Personality Subtyping from Complex Human Textual Responses. In Proceedings of the 20th International Conference on Natural Language Processing (ICON), pages 679–695, Goa University, Goa, India. NLP Association of India (NLPAI).
- Cite (Informal):
- Leveraging Empathy, Distress, and Emotion for Accurate Personality Subtyping from Complex Human Textual Responses (Ghosh et al., ICON 2023)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2023.icon-1.68.pdf