Results 31 to 40 of about 32,474 (200)
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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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
doaj +3 more sources
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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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 ...
Caselles-Dupré, Hugo +2 more
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Experiential, Distributional and Dependency-based Word Embeddings have Complementary Roles in Decoding Brain Activity [PDF]
, 2017 We evaluate 8 different word embedding models on their usefulness for predicting the neural activation patterns associated with concrete nouns. The models we consider include an experiential model, based on crowd-sourced association data, several popular
Abnar, Samira +3 more
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Models of lexical semantics in the algorithms for natural language processing [PDF]
Zbornik Radova Filozofskog Fakulteta u Prištini, 2021 The aim of this study was to determine whether some of the approaches of lexical semantics for studying word meaning could be identified in word2vec and recurrent neural networks (RNN), the algorithms for natural language processing (NLP).
Dilparić Branislava M. +1 more
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Using Word2Vec Recommendation for Improved Purchase Prediction [PDF]
2020 International Joint Conference on Neural Networks (IJCNN), 2020 Purchase prediction can help e-commerce planners plan their stock and personalised offers. Word2Vec is a well-known method to explore word relations in sentences for sentiment analysing by creating vector representation of words. Word2Vec models are used in many works for product recommendations.
Esmeli, Ramazan +2 more
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HOAX DETECTION IN INDONESIA LANGUAGE USING LONG SHORT-TERM MEMORY MODEL
Jurnal Ilmiah SINERGI, 2020 Nowadays, the internet and social media grow fast. This condition has positive and negative effects on society. They become media to communicate and share information without limitation.
Andi Apriliyanto, Retno Kusumaningrum
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Frontiers in Psychology, 2022 While we cannot directly measure the psychological preferences of individuals, and the moral, emotional, and cognitive tendencies of people from the past, we can use cultural artifacts as a window to the zeitgeist of societies in particular historical ...
Mauricio de Jesus Dias Martins +1 more
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