Results 31 to 40 of about 6,791 (190)
An Analysis of Word2Vec for the Italian Language [PDF]
, 2020 Presented at the 2019 Italian Workshop on Neural Networks (WIRN'19) - June ...
Giovanni Di Gennaro +5 more
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Vietnamese Text Classification Algorithm using Long Short Term Memory and Word2Vec
Информатика и автоматизация, 2020 In the context of the ongoing forth industrial revolution and fast computer science development the amount of textual information becomes huge. So, prior to applying the seemingly appropriate methodologies and techniques to the above data processing ...
Huu Nguyen Phat, Nguyen Thi Minh Anh
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Intelligent auditing techniques for enterprise finance
Journal of Intelligent Systems, 2023 With the need of social and economic development, the audit method is also continuously reformed and improved. Traditional audit methods have defects of comprehensively considering various risk factors, and cannot meet the needs of enterprise financial ...
Peng Chen, Tian Guixian
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Word2vec applied to recommendation
Proceedings of the 12th ACM Conference on Recommender Systems, 2018 Skip-gram with negative sampling, a popular variant of Word2vec originally designed and tuned to create word embeddings for Natural Language Processing, has been used to create item embeddings with successful applications in recommendation. While these fields do not share the same type of data, neither evaluate on the same tasks, recommendation ...
Hugo Caselles-Dupré +2 more
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Jurnal Teknologi Informasi dan Ilmu KomputerTempatkan Era digital memudahkan akses dokumen online dalam jumlah besar menjadi lebih mudah dan cepat, namun juga menimbulkan tantangan kompleks dalam pengelolaan dan analisis informasi.
Dede Iskandar, Ana Kurniawati
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Brain Network Analysis and Classification Based on Convolutional Neural Network
Frontiers in Computational Neuroscience, 2018 Background: Convolution neural networks (CNN) is increasingly used in computer science and finds more and more applications in different fields. However, analyzing brain network with CNN is not trivial, due to the non-Euclidean characteristics of brain ...
Lu Meng, Jing Xiang
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Applied Sciences, 2021 Biomedical terms extracted using Word2vec, the most popular word embedding model in recent years, serve as the foundation for various natural language processing (NLP) applications, such as biomedical information retrieval, relation extraction, and ...
Ziheng Zhang +4 more
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Decentralized Word2Vec Using Gossip Learning
the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), 2021 QC ...
Alkathiri, Abdul Aziz +3 more
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Feature Expansion Word2Vec for Sentiment Analysis of Public Policy in Twitter
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Social media users, especially on Twitter, can freely express opinions or other information in the form of tweets about anything, including responding to a public policy.
Alvi Rahmy Royyan, Erwin Budi Setiawan
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Modeling Musical Context with Word2vec
CoRR, 2017 Proceedings of the First International Conference on Deep Learning and Music, Anchorage, US, May, 2017 (arXiv:1706.08675v1 [cs.NE])
Dorien Herremans, Ching-Hua Chuan
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