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metadata
license: cc-by-nc-4.0
task_categories:
  - text-classification
  - sentence-similarity
  - summarization
language:
  - en
tags:
  - topic-modeling
  - circular-economy
  - public-attention
  - topic-modeling
  - guardian
  - reddit
  - twitter
  - x
  - news
  - environment
  - text-mining
  - NLP
pretty_name: Public Attention Text Dataset on Circular Economy for Topic Modelling
size_categories:
  - 10K<n<100K

Public Attention Text Dataset on Circular Economy for Topic Modelling

Journal arXiv Dataset DOI CC BY-NC 4.0

Our dataset is now publicly available via the university's open access repository:

Note: Please use the DOI link above to access and download the data.

This directory is designated for dataset documentation, metadata, and scripts related to data processing. If you use our dataset, please cite the DOI.

@dataset{song2025public,
  author    = {Song, Junhao and Yuan, Yingfang and Chang, Kaiwen and Xu, Bing and Xuan, Jin and Pang, Wei},
  title     = {Public Attention Text Dataset on Circular Economy for Topic Modelling},
  year      = {2025},
  publisher = {Heriot-Watt University},
  doi       = {10.17861/85bf3f9d-dc42-4b5c-8e29-47ddd0f0f687},
  url       = {https://doi.org/10.17861/85bf3f9d-dc42-4b5c-8e29-47ddd0f0f687},
  note      = {EAI2024Data(.zip)}
}

It is imperative to ensure that any data shared here complies with ethical guidelines and legal standards to protect personal and sensitive information.