2026-10-15T03:56:36Z https://www.scidb.cn/oai

10.57760/sciencedb.31366 2025-11-24T16:13:41Z

2025-11-24 Sentiment classification of Indonesian financial news article titles doi:10.57760/sciencedb.31366 en It contains Indonesian financial news from sources like CNBC and Detik, labeled with “negatif (negative),” “netral (neutral),” and “positif (positive).”  It is a financial sentiment analysis dataset (IndoFinSent) by scraping financial news article titles that are referring to a financial institution in Indonesia from the following sources, namely, Liputan6, CNBC, Detik, Sindo, Jawapos, and MetrotvNews. Each of the sentences (news titles) was manually labeled by 2 annotators and cross-checked by these annotators. In sum, we collect and label 2,274 entries in our dataset. The annotation took about 38 hours. NLP; finance; low-resource language Siqi Lv PUBLIC https://creativecommons.org/licenses/by-nc-sa/4.0/ dataset Science Data Bank