Datasets used in our paper titled "Utilizing the Twitter Social Media to Identify Transportation-related Grievances in Indian Cities" accepted for the SNAM journal.
Link to paper: https://link.springer.com/article/10.1007/s13278-024-01278-x
sentiment.csv contains tweets labelled into (0) Neutral, (1) Negative, and (2) Positive
grievance.csv contains tweets labelled into 12 categories in a multi-hot vector format.
The tweets in the dataset have their usernames and URLs masked for privacy.
If you use our dataset please cite the following paper:
@article{pullanikkat2024utilizing,
title={Utilizing the Twitter social media to identify transportation-related grievances in Indian cities},
author={Pullanikkat, Rahul and Poddar, Soham and Das, Anik and Jaiswal, Tushar and Singh, Vivek Kumar and Basu, Moumita and Ghosh, Saptarshi},
journal={Social Network Analysis and Mining},
volume={14},
number={1},
pages={118},
year={2024},
publisher={Springer}
}