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@@ -23,7 +23,14 @@ The recommended multi-domain version of this model covering all domains is share
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  More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2306.13888)
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  <br>
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  Citing:
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-
 
 
 
 
 
 
 
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  ```
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  @inproceedings{kulkarni2021l3cubemahasent,
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  title={L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset},
@@ -33,14 +40,6 @@ Citing:
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  year={2021}
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  }
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  ```
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- ```
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- @article{joshi2022l3cube,
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- title={L3cube-mahanlp: Marathi natural language processing datasets, models, and library},
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- author={Joshi, Raviraj},
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- journal={arXiv preprint arXiv:2205.14728},
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- year={2022}
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- }
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- ```
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  Other Marathi Sentiment models from the MahaSent family are shared here:<br>
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  More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2306.13888)
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  <br>
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  Citing:
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+ ```
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+ @article{pingle2023l3cube,
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+ title={L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models},
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+ author={Pingle, Aabha and Vyawahare, Aditya and Joshi, Isha and Tangsali, Rahul and Joshi, Raviraj},
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+ journal={arXiv preprint arXiv:2306.13888},
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+ year={2023}
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+ }
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+ ```
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  ```
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  @inproceedings{kulkarni2021l3cubemahasent,
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  title={L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset},
 
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  year={2021}
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  }
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  ```
 
 
 
 
 
 
 
 
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  Other Marathi Sentiment models from the MahaSent family are shared here:<br>
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