Ön eğitimli Bert modeli ile patent sınıflandırılması
Öz
Anahtar Kelimeler
Destekleyen Kurum
Proje Numarası
Kaynakça
- 1. Asche, G., “80% of technical information found only in patents” – Is there proof of this ?, World Patent Information, 48, 16–28, 2017.
- 2. Seo, W. A patent-based approach to identifying potential technology opportunities realizable from a firm’s internal capabilities, Computers & Industrial Engineering (Comput. Ind. Eng), 171, 108395, 2022.
- 3. Sofean, M., Deep learning based pipeline with multichannel inputs for patent classification, World Patent Information, 66, 102060, 2021.
- 4. Giordano V., Chiarello F., Melluso N., Fantoni G. and Bonaccorsi A., Text and Dynamic Network Analysis for Measuring Technological Convergence: A Case Study on Defense Patent Data, IEEE Transactions on Engineering Management (IEEE Trans. Eng. Manage), 70, 4, 1490-1503, 2023.
- 5. Durmusoglu, A., Updating technology forecasting models using statistical control charts, Kybernetes, 47 (4), 672–688, 2018.
- 6. Hain, D.S., Jurowetzki, R., Buchmann, T., and Wolf, P. A., Text-Embedding-based Approach to Measure Patent-to-Patent Technological Similarity, Technological Forecasting and Social Change (Technol. Forecasting Social Change), 177, 121559, 2022.
- 7. Yan, B., and Luo, J., Measuring technological distance for patent mapping. The Journal of the Association for Information Science and Technology, 68 (2), 423–437, 2017.
- 8. Erzurumlu, S.S., and Pachamanova, D., Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations. Technological Forecasting and Social Change (Technol. Forecasting Social Change), 156, 120041, 2020.
Ayrıntılar
Birincil Dil
Türkçe
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Türkay Dereli
0000-0002-2130-5503
Türkiye
Erken Görünüm Tarihi
17 Mayıs 2024
Yayımlanma Tarihi
20 Mayıs 2024
Gönderilme Tarihi
4 Mayıs 2023
Kabul Tarihi
21 Ekim 2023
Yayımlandığı Sayı
Yıl 2024 Cilt: 39 Sayı: 4
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