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