1 |
A. Basirat, "Real-valued Syntactic Word Vectors", Journal of Experimental & Theoretical Artificial Intelligence, 32(4), pp. 557-579, 2020
DOI
|
2 |
K. Kwangho, et al., "Input Dimension Reduction based on Continuous Word Vector for Deep Neural Network Language Model," Phonetics and Speech Sciences, 7(4), pp. 3-8, 2015.
DOI
|
3 |
L. Hickman, et al., "Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations", Organizational Research Methods,25(1), pp.114-146, 2022
DOI
|
4 |
F. Heimerl, M. Gleicher, "Interactive Analysis of Word Vector Embeddings", Computer Graphics Forum, 37(3), pp. 253-265, 2018
DOI
|
5 |
Y. Chang, et al., "Using Word Semantic Concepts for Plagiarism Detection in Text Documents", Information Retrieval Journal, 24(4-5), pp.298-321. 2021
DOI
|
6 |
K. Sinjae, "Learning Tagging Ontology from Large Tagging Data," Journal of Korean Institute of Intelligent Systems, 18(2), pp. 157-162, 2008.
DOI
|
7 |
A. Gavric, et al., "Real-Time Data Processing Techniques for a Scalable Spatial and Temporal Dimension Reduction", 21st International Symposium(INFOTEH), pp. 1-6, 2022
|
8 |
Y. Lee, et al., "Applying Convolution Filter to Matrix of Word-clustering Based Document Representation", Neurocomputing, 315, pp.210- 220, 2018, doi:10.1016/j.neucom.2018.07.018
DOI
|
9 |
N. Fatima, et al., "A Systematic Literature Review on Text Generation Using Deep Neural Network Models", IEEE Access, 10, 53490-53503. 2022
DOI
|
10 |
K. Hyungsuc, Y. Janghoon, "Analyzing Semantic Relations of Word Vectors trained by The Word2vec Model", Journal of KIISE, 46(10), pp. 1088-1093, 2019
DOI
|
11 |
K. Kwangho, "Deep Learning Application for Core Image Analysis of the Poems by Ki Hyung-Do," Journal of the Convergence on Culture Technology, 7(3), pp. 591-598, 2021.
DOI
|