Zobrazeno 1 - 10
of 8 841
pro vyhledávání: '"Word Embedding"'
Autor:
Wasi Nesar Ahmad, Abulaish Muhammad
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 49, Iss 4, Pp 409-430 (2024)
This paper presents a novel approach to address the problem of negative covariate shift by using unseen features. Covariate shift occurs when there is a drift between the data observed during the training and testing phase of a machine learning model
Externí odkaz:
https://doaj.org/article/aed95ed206384f139622918464d66ed0
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-15 (2024)
Abstract Social media platforms like Twitter and Facebook have gradually become vital for communication and information exchange. However, this often leads to the spread of unreliable or false information, such as harmful rumors. Currently, graph con
Externí odkaz:
https://doaj.org/article/492535560a3e4baf930d83f906f7cefc
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 36, Iss 1, Pp 100-111 (2024)
Abstract—Word embeddings in Natural Language Processing (NLP) represent words as vectors, encapsulating both semantic and syntactic meanings. Prominent models such as Word2Vec, FastText, and GloVe play a crucial role in various NLP tasks. This stud
Externí odkaz:
https://doaj.org/article/a559324a50714c309b5aca6a76009fdf
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Sentiment analysis (SA) as a research field has gained popularity among the researcher throughout the globe over the past 10 years. Deep neural networks (DNN) and word vector models are employed nowadays and perform well in sentiment analysi
Externí odkaz:
https://doaj.org/article/27cd5430a23749a4b2249c2e73231f7d
Publikováno v:
پژوهشهای تجربی حسابداری, Vol 14, Iss 3, Pp 103-142 (2024)
Management accounting practices play an important role in business management and help companies survive in a competitive and ever-changing world. Appropriate measures of management accounting practices allow academics and practitioners to effectivel
Externí odkaz:
https://doaj.org/article/aff73b4b92a847d9a8328d429af1472d
Publikováno v:
Studies in Business and Economics, Vol 19, Iss 2, Pp 290-307 (2024)
Transferring to economy 5.0 makes a great emphasis on Artificial Intelligence technologies implementation in civil and military areas. The aim of the article is to model relation between the Ukrainian Ministry of Defense budget programs and strategic
Externí odkaz:
https://doaj.org/article/8880840c44734d12a25fc96d5434139a
Publikováno v:
Jurnal Lebesgue, Vol 5, Iss 2, Pp 634-641 (2024)
Word embedding is a technique for converting a word into a vector. These are known as word vectors. Despite the fact that word embedding offers multiple powerful approaches, these existing methods can yet be improved. Normalizing word vectors and est
Externí odkaz:
https://doaj.org/article/2c750fe16e3d499fb91692556761046f
Autor:
Qingyuan Song, Congning Ni, Jeremy L. Warner, Qingxia Chen, Lijun Song, S. Trent Rosenbloom, Bradley A. Malin, Zhijun Yin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Patient portal messages often relate to specific clinical phenomena (e.g., patients undergoing treatment for breast cancer) and, as a result, have received increasing attention in biomedical research. These messages require natural language
Externí odkaz:
https://doaj.org/article/8b38cc3209a343e387b9cc3e5180b943
Autor:
Akira Matsui, Emilio Ferrara
Publikováno v:
PeerJ Computer Science, Vol 10, p e2562 (2024)
Machine learning models learn low-dimensional representations from complex high-dimensional data. Not only computer science but also social science has benefited from the advancement of these powerful tools. Within such tools, word embedding is one o
Externí odkaz:
https://doaj.org/article/5e69aa837fb44e7a9c549993ee9dbfb6
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 10, Iss 4, Pp 453-468 (2024)
In the era of digital journalism, the classification of Arabic news presents a significant challenge due to the complex nature of the language and the vast diversity of content. This study introduces a novel multichannel deep learning model, CLGNet,
Externí odkaz:
https://doaj.org/article/4d53a06d03944230b44000b42915df8d