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---
license: mit
task_categories:
- text-classification
language:
- ur
---
## Sentiment Analysis Data for the Urdu Language
**Dataset Description:**
This dataset contains a sentiment analysis dataset from Khan et al. (2020).
**Data Structure:**
The data was used for the project on [improving word embeddings with graph knowledge for Low Resource Languages](https://github.com/pyRis/retrofitting-embeddings-lrls?tab=readme-ov-file).
**Citation:**
```bibtex
@inproceedings{khan2017harnessing,
title={Harnessing English Sentiment Lexicons for Polarity Detection in Urdu Tweets: A Baseline Approach},
author={Khan, Muhammad Yaseen and Emaduddin, Shah Muhammad and Junejo, Khurum Nazir},
booktitle={2017 IEEE 11th International Conference on Semantic Computing (ICSC)},
pages={242--249},
year={2017},
organization={IEEE}
}
@inproceedings{khan2020usc,
title={Urdu Sentiment Corpus (v1.0): Linguistic Exploration and Visualization of Labeled Datasetfor Urdu Sentiment Analysis.},
author={Khan, Muhammad Yaseen and Nizami, Muhammad Suffian},
booktitle={2020 IEEE 2nd International Conference On Information Science & Communication Technology (ICISCT)},
pages={},
year={2020},
organization={IEEE}
}
@InProceedings{maas-EtAl:2011:ACL-HLT2011,
author = {Maas, Andrew L. and Daly, Raymond E. and Pham, Peter T. and Huang, Dan and Ng, Andrew Y. and Potts, Christopher},
title = {Learning Word Vectors for Sentiment Analysis},
booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies},
month = {June},
year = {2011},
address = {Portland, Oregon, USA},
publisher = {Association for Computational Linguistics},
pages = {142--150},
url = {http://www.aclweb.org/anthology/P11-1015}
}
``` |