README.md

metadata

license: mit
task_categories:
  - text-classification
language:
  - bo

Sentiment Analysis Data for the Tibetan Language

Dataset Description: This dataset contains a sentiment analysis data from Zhu et al. (2023).

Data Structure: The data was used for the project on injecting external commonsense knowledge into multilingual Large Language Models.

Citation:

@INPROCEEDINGS{10348366,
  author={Zhu, Yulei and Luosai, Baima and Zhou, Liyuan and Qun, Nuo and Nyima, Tashi},
  booktitle={2023 IEEE 4th International Conference on Pattern Recognition and Machine Learning (PRML)}, 
  title={Research on Sentiment Analysis of Tibetan Short Text Based on Dual-channel Hybrid Neural Network}, 
  year={2023},
  volume={},
  number={},
  pages={377-384},
  keywords={Analytical models;Sentiment analysis;Neural networks;Semantics;Machine learning;Logic gates;Feature extraction;Tibetan sentiment analysis;TextCNN;BiGRU;pretraining model},
  doi={10.1109/PRML59573.2023.10348366}}