

## MahaSent-PT

MahaSent-PT is a MahaBERT(l3cube-pune/marathi-bert-v2) model fine-tuned on L3Cube-MahaSent-PT Corpus, a political-domain Marathi sentiment analysis dataset. <br>
This dataset was originally introduced in <a href="https://arxiv.org/abs/2103.11408">L3CubeMahaSent</a> and is now part of extended corpus L3Cube-MahaSent-MD, a multi-domain Marathi sentiment analysis dataset. <br>
The MahaSent-MD dataset contains domains like movie reviews, generic tweets, subtitles, and political tweets. This model is trained specifically on the political tweets domain. <br>

The recommended multi-domain version of this model covering all domains is shared here: <a href="https://huggingface.co/l3cube-pune/marathi-sentiment-md"> marathi-sentiment-md </a> <br>
[dataset link] (https://github.com/l3cube-pune/MarathiNLP)

More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2306.13888)
<br>
Citing:
```
@article{pingle2023l3cube,
  title={L3Cube-MahaSent-MD: A Multi-domain Marathi Sentiment Analysis Dataset and Transformer Models},
  author={Pingle, Aabha and Vyawahare, Aditya and Joshi, Isha and Tangsali, Rahul and Joshi, Raviraj},
  journal={arXiv preprint arXiv:2306.13888},
  year={2023}
}
```
```
@inproceedings{kulkarni2021l3cubemahasent,
  title={L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset},
  author={Kulkarni, Atharva and Mandhane, Meet and Likhitkar, Manali and Kshirsagar, Gayatri and Joshi, Raviraj},
  booktitle={Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  pages={213--220},
  year={2021}
}
```

Other Marathi Sentiment models from the MahaSent family are shared here:<br>

<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-md"> MahaSent-MD (multi domain) </a> <br>
<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-tweets"> MahaSent-GT (generic tweets) </a> <br>
<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-movie-reviews"> MahaSent-MR (movie reviews) </a> <br>
<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-political-tweets"> MahaSent-PT (political tweets) </a> <br>
<a href="https://huggingface.co/l3cube-pune/marathi-sentiment-subtitles"> MahaSent-ST (TV subtitles) </a> <br>
<a href="https://huggingface.co/l3cube-pune/MarathiSentiment"> MahaSent v1 (political tweets) </a> <br>

{"language": "mr", "license": "cc-by-4.0", "tags": ["bert"], "datasets": ["L3Cube-MahaSent-MD", "L3CubeMahaSent"], "widget": [{"text": "I like you. </s></s> I love you."}]}
transformers pytorch safetensors bert text-classification mr dataset:L3Cube-MahaSent-MD dataset:L3CubeMahaSent arxiv:2103.11408 arxiv:2306.13888 license:cc-by-4.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #safetensors #bert #text-classification #mr #dataset-L3Cube-MahaSent-MD #dataset-L3CubeMahaSent #arxiv-2103.11408 #arxiv-2306.13888 #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 



## MahaSent-PT

MahaSent-PT is a MahaBERT(l3cube-pune/marathi-bert-v2) model fine-tuned on L3Cube-MahaSent-PT Corpus, a political-domain Marathi sentiment analysis dataset. <br>
This dataset was originally introduced in <a href="URL and is now part of extended corpus L3Cube-MahaSent-MD, a multi-domain Marathi sentiment analysis dataset. <br>
The MahaSent-MD dataset contains domains like movie reviews, generic tweets, subtitles, and political tweets. This model is trained specifically on the political tweets domain. <br>

The recommended multi-domain version of this model covering all domains is shared here: <a href="URL marathi-sentiment-md </a> <br>
[dataset link] (URL

More details on the dataset, models, and baseline results can be found in our [paper] (URL
<br>
Citing:



Other Marathi Sentiment models from the MahaSent family are shared here:<br>

<a href="URL MahaSent-MD (multi domain) </a> <br>
<a href="URL MahaSent-GT (generic tweets) </a> <br>
<a href="URL MahaSent-MR (movie reviews) </a> <br>
<a href="URL MahaSent-PT (political tweets) </a> <br>
<a href="URL MahaSent-ST (TV subtitles) </a> <br>
<a href="URL MahaSent v1 (political tweets) </a> <br>

## MahaSent-PT

MahaSent-PT is a MahaBERT(l3cube-pune/marathi-bert-v2) model fine-tuned on L3Cube-MahaSent-PT Corpus, a political-domain Marathi sentiment analysis dataset. <br>
This dataset was originally introduced in <a href="URL and is now part of extended corpus L3Cube-MahaSent-MD, a multi-domain Marathi sentiment analysis dataset. <br>
The MahaSent-MD dataset contains domains like movie reviews, generic tweets, subtitles, and political tweets. This model is trained specifically on the political tweets domain. <br>

The recommended multi-domain version of this model covering all domains is shared here: <a href="URL marathi-sentiment-md </a> <br>
[dataset link] (URL

More details on the dataset, models, and baseline results can be found in our [paper] (URL
<br>
Citing:



Other Marathi Sentiment models from the MahaSent family are shared here:<br>

<a href="URL MahaSent-MD (multi domain) </a> <br>
<a href="URL MahaSent-GT (generic tweets) </a> <br>
<a href="URL MahaSent-MR (movie reviews) </a> <br>
<a href="URL MahaSent-PT (political tweets) </a> <br>
<a href="URL MahaSent-ST (TV subtitles) </a> <br>
<a href="URL MahaSent v1 (political tweets) </a> <br>
TAGS
#transformers #pytorch #safetensors #bert #text-classification #mr #dataset-L3Cube-MahaSent-MD #dataset-L3CubeMahaSent #arxiv-2103.11408 #arxiv-2306.13888 #license-cc-by-4.0 #autotrain_compatible #endpoints_compatible #region-us 
 ## MahaSent-PT

MahaSent-PT is a MahaBERT(l3cube-pune/marathi-bert-v2) model fine-tuned on L3Cube-MahaSent-PT Corpus, a political-domain Marathi sentiment analysis dataset. <br>
This dataset was originally introduced in <a href="URL and is now part of extended corpus L3Cube-MahaSent-MD, a multi-domain Marathi sentiment analysis dataset. <br>
The MahaSent-MD dataset contains domains like movie reviews, generic tweets, subtitles, and political tweets. This model is trained specifically on the political tweets domain. <br>

The recommended multi-domain version of this model covering all domains is shared here: <a href="URL marathi-sentiment-md </a> <br>
[dataset link] (URL

More details on the dataset, models, and baseline results can be found in our [paper] (URL
<br>
Citing:



Other Marathi Sentiment models from the MahaSent family are shared here:<br>

<a href="URL MahaSent-MD (multi domain) </a> <br>
<a href="URL MahaSent-GT (generic tweets) </a> <br>
<a href="URL MahaSent-MR (movie reviews) </a> <br>
<a href="URL MahaSent-PT (political tweets) </a> <br>
<a href="URL MahaSent-ST (TV subtitles) </a> <br>
<a href="URL MahaSent v1 (political tweets) </a> <br>