المؤلفون: Tong Xie, Yuwei Wan, Haoran Wang, Ina Østrøm, Shaozhou Wang, Mingrui He, Rong Deng, Xinyuan Wu, Clara Grazian, Chunyu Kit, Bram Hoex

مصطلحات موضوعية: Biotechnology, Science Policy, Biological Sciences not elsewhere classified, Information Systems not elsewhere classified, thereby falling short, thereby accelerating research, promising results offer, opinions toward materials, emerging thermoelectric materials, convolutional neural networks, atomic layer deposition, integrated material knowledge, scientific sentiment network, predicting suitable nanomaterials, energy material literature, effectively extract knowledge, synthesize knowledge, scientific literature, text representation, respectively ), reliable insights, practical framework, opinion mining, model achieves, maximizing discoverability, innovative approach, information retrieval, future applications, experimental outcomes, disciplinary boundaries

Relation: https://figshare.com/articles/journal_contribution/Opinion_Mining_by_Convolutional_Neural_Networks_for_Maximizing_Discoverability_of_Nanomaterials/24592500

الاتاحة: https://doi.org/10.1021/acs.jcim.3c00746.s001
https://figshare.com/articles/journal_contribution/Opinion_Mining_by_Convolutional_Neural_Networks_for_Maximizing_Discoverability_of_Nanomaterials/24592500