Traveloka Customer Review Sentiment Analysis Dataset

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.

Data Formats

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.

Citation

If you use this dataset in a scientific publication, we would appreciate using the following citations:

Plain Text

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.

BibTeX

@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}
}