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finish dataset README

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  pretty_name: Public Attention Text Dataset on Circular Economy for Topic Modelling
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  size_categories:
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  - 10K<n<100K
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  pretty_name: Public Attention Text Dataset on Circular Economy for Topic Modelling
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  size_categories:
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  - 10K<n<100K
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+ ---
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+
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+ ### Public Attention Text Dataset on Circular Economy for Topic Modelling
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+
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+ <p align="left">
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+ <a href="https://www.sciencedirect.com/science/article/pii/S2666546824000995"><img src="https://img.shields.io/badge/Journal-Energy%20and%20AI-orange.svg?logo=elsevier" alt="Journal"></a>
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+ <a href="https://arxiv.org/abs/2405.10452"><img src="https://img.shields.io/badge/arXiv-2405.10452-b31b1b.svg?logo=arxiv" alt="arXiv"></a>
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+ <a href="https://doi.org/10.17861/85bf3f9d-dc42-4b5c-8e29-47ddd0f0f687"><img src="https://img.shields.io/badge/dataset-DOI%3A10.17861%2F85bf3f9d--dc42--4b5c--8e29--47ddd0f0f687-blue.svg?logo=dataverse" alt="Dataset DOI"></a>
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+ <a href="https://creativecommons.org/licenses/by-nc/4.0/"><img src="https://img.shields.io/badge/Data%20License-CC%20BY--NC%204.0-lightgrey.svg?logo=creativecommons" alt="CC BY-NC 4.0"></a>
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+ </p>
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+
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+
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+ Our dataset is now publicly available via the university's open access repository:
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+
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+ - **DOI:** [10.17861/85bf3f9d-dc42-4b5c-8e29-47ddd0f0f687](https://doi.org/10.17861/85bf3f9d-dc42-4b5c-8e29-47ddd0f0f687)
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+ - **License:** This dataset is released under the [Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/) license.
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+
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+ **Note:** Please use the DOI link above to access and download the data.
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+
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+ This directory is designated for dataset documentation, metadata, and scripts related to data processing. If you use our dataset, please cite the DOI.
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+
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+ ```bibtex
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+ @dataset{song2025public,
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+ author = {Song, Junhao and Yuan, Yingfang and Chang, Kaiwen and Xu, Bing and Xuan, Jin and Pang, Wei},
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+ title = {Public Attention Text Dataset on Circular Economy for Topic Modelling},
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+ year = {2025},
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+ publisher = {Heriot-Watt University},
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+ doi = {10.17861/85bf3f9d-dc42-4b5c-8e29-47ddd0f0f687},
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+ url = {https://doi.org/10.17861/85bf3f9d-dc42-4b5c-8e29-47ddd0f0f687},
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+ note = {EAI2024Data(.zip)}
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+ }
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+ ```
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+
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+ ---
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+
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+ It is imperative to ensure that any data shared here complies with ethical guidelines and legal standards to protect personal and sensitive information.