Exploring Aspect-Based Sentiment Analysis Methodologies for Literary-Historical Research Purposes
Tess Dejaeghere, Pranaydeep Singh, Els Lefever, Julie Birkholz
Abstract
This study explores aspect-based sentiment analysis (ABSA) methodologies for literary-historical research, aiming to address the limitations of traditional sentiment analysis in understanding nuanced aspects of literature. It evaluates three ABSA toolchains: rule-based, machine learning-based (utilizing BERT and MacBERTh embeddings), and a prompt-based workflow with Mixtral 8x7B. Findings highlight challenges and potentials of ABSA for literary-historical analysis, emphasizing the need for context-aware annotation strategies and technical skills. The research contributes by curating a multilingual corpus of travelogues, publishing an annotated dataset for ABSA, creating openly available Jupyter Notebooks with Python code for each modeling approach, conducting pilot experiments on literary-historical texts, and proposing future endeavors to advance ABSA methodologies in this domain.- Anthology ID:
- 2024.lt4hala-1.16
- Volume:
- Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024
- Month:
- May
- Year:
- 2024
- Address:
- Torino, Italia
- Editors:
- Rachele Sprugnoli, Marco Passarotti
- Venues:
- LT4HALA | WS
- SIG:
- Publisher:
- ELRA and ICCL
- Note:
- Pages:
- 129–143
- Language:
- URL:
- https://aclanthology.org/2024.lt4hala-1.16
- DOI:
- Cite (ACL):
- Tess Dejaeghere, Pranaydeep Singh, Els Lefever, and Julie Birkholz. 2024. Exploring Aspect-Based Sentiment Analysis Methodologies for Literary-Historical Research Purposes. In Proceedings of the Third Workshop on Language Technologies for Historical and Ancient Languages (LT4HALA) @ LREC-COLING-2024, pages 129–143, Torino, Italia. ELRA and ICCL.
- Cite (Informal):
- Exploring Aspect-Based Sentiment Analysis Methodologies for Literary-Historical Research Purposes (Dejaeghere et al., LT4HALA-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.lt4hala-1.16.pdf