المؤلفون: Zeng, Biqing, Yang, Heng^{Aff2, IDs11227021040471_cor2}, Liu, Shuai, Xu, Mayi

المصدر: The Journal of Supercomputing: An International Journal of High-Performance Computer Design, Analysis, and Use. 78(3):4358-4376

المؤلفون: Song, Youwei^Aff12, Wang, Jiahai^Aff12, Jiang, Tao^Aff12, Liu, Zhiyue^Aff12, Rao, Yanghui^Aff12

المساهمون: Goos, Gerhard, Founding Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Woeginger, Gerhard, Editorial Board Member^Aff6, Yung, Moti, Editorial Board Member^Aff7, Tetko, Igor V., editor^Aff8, Kůrková, Věra, editor^Aff9, Karpov, Pavel, editor^Aff10, Theis, Fabian, editor^Aff11

المصدر: Artificial Neural Networks and Machine Learning – ICANN 2019: Text and Time Series : 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17–19, 2019, Proceedings, Part IV. 11730:93-103

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المؤلفون: Tanu Sharma, Kamaldeep Kaur

المصدر: Applied Sciences, Vol 11, Iss 22, p 10542 (2021)

مصطلحات موضوعية: aspect based sentiment analysis (ABSA), aspect level sentiment classification (ALSC), deep learning, target dependent sentiment classification, neural networks, statistical tests, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2076-3417/11/22/10542; https://doaj.org/toc/2076-3417

URL الوصول: https://doaj.org/article/f1366d1f1c8e487da592fa4f26e241b8

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المؤلفون: Kamaldeep Kaur, Tanu Sharma

المصدر: Applied Sciences, Vol 11, Iss 10542, p 10542 (2021)

مصطلحات موضوعية: Technology, aspect level sentiment classification (ALSC), Wilcoxon signed-rank test, target dependent sentiment classification, QH301-705.5, Computer science, QC1-999, statistical tests, Machine learning, computer.software_genre, General Materials Science, Biology (General), Macro, QD1-999, Instrumentation, Statistical hypothesis testing, Fluid Flow and Transfer Processes, Artificial neural network, business.industry, Physics, Process Chemistry and Technology, Deep learning, General Engineering, deep learning, Benchmarking, neural networks, Engineering (General). Civil engineering (General), Computer Science Applications, Chemistry, aspect based sentiment analysis (ABSA), Benchmark (computing), Artificial intelligence, TA1-2040, business, F1 score, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a89ceef6851e5030bfa36b2a69f2206e
https://doi.org/10.3390/app112210542

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