Sentiment classification of Indonesian financial news article titles

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.