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- This model is based on the robust [DistilBERT](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) architecture.
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- Special thanks to the Hugging Face community for providing the infrastructure that makes deploying and sharing models seamless.
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- This work is part of the thesis project **"Enhancing Tourist Destination Management through a Multilingual Web-Based Tourist Survey System with Machine Learning."** The project also utilizes BERTopic for topic modeling, aiming to revolutionize the collection and analysis of tourist feedback by overcoming language barriers and improving upon traditional survey methods.
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---
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Feel free to adjust or expand upon this README as your thesis project evolves!
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- This model is based on the robust [DistilBERT](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) architecture.
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- Special thanks to the Hugging Face community for providing the infrastructure that makes deploying and sharing models seamless.
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- This work is part of the thesis project **"Enhancing Tourist Destination Management through a Multilingual Web-Based Tourist Survey System with Machine Learning."** The project also utilizes BERTopic for topic modeling, aiming to revolutionize the collection and analysis of tourist feedback by overcoming language barriers and improving upon traditional survey methods.
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## Citation
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```bibtex
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@inproceedings{your_citation,
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title={BERTopic Model for Multilingual Tourism Feedback},
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author={Paul Andre D. Tadiar},
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year={2025}
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}
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```
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