This repository dataset contains 1200 tweets that are related to our paper Sentiment analysis for customer review: Case study of Traveloka. It is labeled into two classes: negative and positive. The dataset is intended to support research and development in sentiment analysis, especially for customer reviews in the travel and tourism industry.
The file starts with a header, and each following line consists of a tweet followed by its respective label separated by a pipe ( | ). We used to quote (" ") inside the text to avoid column separation.
If you use this dataset in a scientific publication, we would appreciate using the following citations:
Diekson, Z. A., Prakoso, M. R. B., Putra, M. S. Q., Syaputra, M. S. A. F., Achmad, S., & Sutoyo, R. (2023). Sentiment analysis for customer review: Case study of Traveloka. Procedia Computer Science, 216, 682-690.
@article{diekson2023sentiment,
title={Sentiment analysis for customer review: Case study of Traveloka},
author={Diekson, Ziedhan Alifio and Prakoso, Muhammad Rivyan Bagas and Putra, Muhammad Savio Qalby and Syaputra, Muhammad Shaden Al Fadel and Achmad, Said and Sutoyo, Rhio},
journal={Procedia Computer Science},
volume={216},
pages={682--690},
year={2023},
publisher={Elsevier}
}