Patent Trend Analysis in Construction Materials for Carbon Emission Reduction: A Topic Modeling Approach
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| Název: | Patent Trend Analysis in Construction Materials for Carbon Emission Reduction: A Topic Modeling Approach |
|---|---|
| Autoři: | Hafizah Farhah Saipan Saipol, Syarifah Zyurina Nordin, Aizul Nahar Harun, Amir Syafiq Syamin Shah Amir Hamzah |
| Zdroj: | PaperASIA. 40:265-279 |
| Informace o vydavateli: | Simo Excel PLT, 2024. |
| Rok vydání: | 2024 |
| Popis: | The increasing concern over carbon emissions and climate change has led to great interest in research and innovation for construction materials to reduce environmental impact. This study employs topic modelling techniques to analyze patent trends in the field of advanced construction materials focusing on carbon emission reduction. The methodology involves the application of topic modelling algorithms, which is Latent Dirichlet Allocation (LDA), to categorize the latent thematic clusters within the patent corpus and to cluster patent technologies. The resulting topics identify key areas of technological advancement, providing insights into emerging trends and innovations. In addition, this study explores the interconnectivity between topics that will help develop solutions for carbon emission reduction. The analysis highlights the advanced materials technologies and their development to achieve sustainable solutions. This patent trend analysis can guide researchers and industry professionals and contribute to the understanding of global efforts to reduce carbon emissions in advanced construction materials. |
| Druh dokumentu: | Article |
| ISSN: | 0218-4540 |
| DOI: | 10.59953/paperasia.v40i6b.249 |
| Rights: | CC BY NC |
| Přístupové číslo: | edsair.doi...........d92535e0aeedd765d160c0e67aed7beb |
| Databáze: | OpenAIRE |
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