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- ---
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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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+
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+
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+ ## Sentiment Analysis Data for the Urdu Language
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+
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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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+
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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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+
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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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+
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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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+
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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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+ ```