施加
发表于 2025-3-26 23:53:11
http://reply.papertrans.cn/24/2326/232599/232599_31.png
严厉谴责
发表于 2025-3-27 02:03:33
http://reply.papertrans.cn/24/2326/232599/232599_32.png
渗入
发表于 2025-3-27 08:56:27
https://doi.org/10.1007/978-3-662-10107-0t modalities, and generalizability. The framework illustrates the different facets of analysis to be considered while performing multimodal sentiment analysis and, hence, serves as a new benchmark for future research in this emerging field.
施魔法
发表于 2025-3-27 11:30:35
Herbert Oertel,Martin Böhle,Ulrich Dohrmanngmented embedding and attention mechanism. The attention mechanism here is expected to locate the important parts of a text. The evaluation on SemEval 2016 Task 6 Twitter Stance Detection dataset shows that our proposed model achieves the state-of-the-art results.
GRE
发表于 2025-3-27 14:43:17
Herbert Oertel,Martin Böhle,Ulrich Dohrmannre provided as a benchmark for future studies and comparisons with other emotion detection models. The best results over a set of eight emotions were obtained using a complement Naïve Bayes algorithm with an overall accuracy of 68.12%.
易改变
发表于 2025-3-27 19:54:40
Leveraging Target-Oriented Information for Stance Classificationgmented embedding and attention mechanism. The attention mechanism here is expected to locate the important parts of a text. The evaluation on SemEval 2016 Task 6 Twitter Stance Detection dataset shows that our proposed model achieves the state-of-the-art results.
Autobiography
发表于 2025-3-27 23:00:43
http://reply.papertrans.cn/24/2326/232599/232599_37.png
移植
发表于 2025-3-28 05:34:31
https://doi.org/10.1007/978-3-319-77116-8artificial intelligence; emotion recognition; internet; learning algorithms; machine translations; natura
事情
发表于 2025-3-28 07:13:35
978-3-319-77115-1Springer Nature Switzerland AG 2018
健谈的人
发表于 2025-3-28 11:10:32
Computational Linguistics and Intelligent Text Processing978-3-319-77116-8Series ISSN 0302-9743 Series E-ISSN 1611-3349