Results 21 to 30 of about 10,729 (237)
CoRR, 2014 The Global Vectors for word representation (GloVe), introduced by Jeffrey Pennington et al. is reported to be an efficient and effective method for learning vector representations of words. State-of-the-art performance is also provided by skip-gram with negative-sampling (SGNS) implemented in the word2vec tool. In this note, we explain the similarities
Tianze Shi, Zhiyuan Liu 0001
openaire +2 more sources
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
openaire +3 more sources
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
doaj +1 more source
Mathematics, 2023 Personalized recommender systems are used not only in e-commerce companies but also in various web applications. These systems conventionally use collaborative filtering (CF) and content-based filtering approaches. CF operates using memory-based or model-
Yong Eui Kim +4 more
doaj +1 more source
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
doaj +1 more source
, 2022 Adapted word2vec model with probing of internal states during ...
Jeroen van Paridon
core +1 more source
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
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
openaire +2 more sources
Lemmatized English Word2Vec data
, 2021 # Lemmatized English Word2Vec data This is a version of the original GoogleNews-vectors-negative300 Word2Vec embeddings for English. In addition, we provide the following modified files: - converted to conventional CSV format (and gzipped ...
Tomas Mikolov et al., Christian Chiarcos
core +1 more source
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
doaj +1 more source