Summary of Exploring Public Attention in the Circular Economy Through Topic Modelling with Twin Hyperparameter Optimisation, by Junhao Song et al.
Exploring Public Attention in the Circular Economy through Topic Modelling with Twin Hyperparameter Optimisation
by Junhao Song, Yingfang Yuan, Kaiwen Chang, Bing Xu, Jin Xuan, Wei Pang
First submitted to arxiv on: 16 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The novel framework proposed in this paper integrates twin hyperparameter optimisation to advance the circular economy (CE) by gaining insights into public attention and cognitive pathways regarding circular products. Utilising topic models on data from Twitter, Reddit, and The Guardian, the research identifies primary concerns, revealing that the public is concerned about economic impacts of sustainability and circular practices, particularly recyclable materials and environmentally sustainable technologies. The optimised model shows significant attention on The Guardian in topics related to sustainable development and environmental protection technologies, while discussions are less active on Twitter. To address these findings, policymakers can implement targeted education programs, create incentives for businesses, and enforce stricter waste management policies. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper studies how people think about circular products and what they care about most when it comes to sustainability. The researchers looked at tweets, online comments, and articles to see what people are talking about and what they’re worried about. They found that people are concerned about the economy and making sure we can recycle more things. They also saw that some places, like The Guardian, have a lot of discussions about this topic, while others, like Twitter, don’t talk about it as much. This research is important because it helps us understand what people think about sustainability and how we can make it better. |
Keywords
» Artificial intelligence » Attention » Hyperparameter
