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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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  ---
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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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+
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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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  ---
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