Authorship Attribution in Bahasa Indonesia

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Authors: Yohan Muliono
Cited by: 0

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