EmoTweetID: A dataset of Indonesian tweets for emotion classification and word embedding construction
Kuncahyo Setyo Nugroho, Fitra Abdurrachman Bachtiar, Wayan Firdaus Mahmudy, Matthew Martianus Henry, Mahmud Isnan, Gusti Pangestu, Bens Pardamean · 2026
Read EmoTweetID: A dataset of Indonesian tweets for emotion classification and word embedding construction by Kuncahyo Setyo Nugroho, Fitra Abdurrachman Bachtiar, Wayan Firdaus Mahmudy, Matthew Martianus Henry, Mahmud Isnan, Gusti Pangestu, Bens Pardamean (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13495581.txt.
Description
Nugroho and colleagues built EmoTweetID in 2026, a large open dataset of Indonesian tweets for teaching computers to read emotion in text. Indonesian is a low-resource language for this kind of research, with few labeled sets. The team drew on Ekman's six basic emotions: anger, disgust, fear, joy, sadness, and surprise.
They gathered more than four and a half million raw posts from X using emotion keywords, then cleaned the haul to about 3.1 million tweets. From those, about 2,200 tweets were labeled by hand and by word lists, with three student raters agreeing well. Word embedding models, which map words to numbers that capture meaning, were trained on the corpus. A neural network paired with one embedding scored well on the labeled set, and the dataset is free on Mendeley Data.
Catalog record
| CREATOR | Kuncahyo Setyo Nugroho, Fitra Abdurrachman Bachtiar, Wayan Firdaus Mahmudy, Matthew Martianus Henry, Mahmud Isnan, Gusti Pangestu, Bens Pardamean |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |