In an era with increasingly available complex real-world data, various quantitative methods have been developed to extract valuable insights from the data. Machine learning (ML) techniques have proven
This database contains the comparison of results between the supervised and unsupervised polarity classification of the tweets related to the 2019 Albania earthquake. The database was constructed with
Sentiment is user-generated data that is distributed over different social medias that helps business organization to classify the polarity of the opinions of users as positive or negative.
Dataset ini berisi 10.079 data tweet yang terkait dengan gempa bumi Palu, yang diposting antara 28 September 2018 hingga 14 November 2018. Setiap tweet telah diberi label sentimen untuk analisis, deng