Authorship Attribution in Bahasa Indonesia
Abstract
The dataset consists of textual data curated for authorship attribution research in the Indonesian language. It includes two distinct text types: short-text and long-text, representing different writing contexts and stylistic characteristics. Short-text data were collected from Twitter and reflect informal, concise, and spontaneous writing styles, while long-text data were obtained from Indonesian online news articles and represent formal, structured, and editorial writing.
Fields of Study & Subjects
Authorship Attribution and Profiling
Mental Health via Writing
Natural Language Processing Techniques
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 4 February 2026
- Document type
- Dataset