Digital Humanities: Computational Analysis of Literary Texts
Natural Language Processing for Indonesian Literature Analysis
Penulis: Dr. Maya Sari, S.Sos., M.A., Prof. Dr. Mada Rahman, S.Kom., M.T., Dr. Ahmad Wijaya, S.T., M.T.
Informasi Konferensi
Konferensi: International Conference on Digital Humanities (ICDHS)
Tanggal: 2024-10-22
Lokasi: Singapore, Singapore
Abstrak
Abstract
This paper explores the application of digital humanities methodologies for computational analysis of Indonesian literary texts. We develop NLP pipelines for text analysis, authorship attribution, and thematic pattern recognition in classical and modern Indonesian literature.
Methodology:
- Corpus construction of Indonesian literary texts
- Named entity recognition for Indonesian literature
- Stylometric analysis and authorship attribution
- Thematic modeling using topic modeling techniques
The study reveals significant patterns in Indonesian literary evolution and provides new insights into cultural and linguistic heritage through computational methods.
Kata Kunci
digital humanities, computational literary analysis, Indonesian literature, NLP, ACM