AN APPROACH BASED ON TF-IDF METRICS TO EXTRACT THE KNOWLEDGE AND RELEVANT LINGUISTIC MEANS ON SUBJECT-ORIENTED TEXT SETS-Reference-Cited by-同舟云学术

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AN APPROACH BASED ON TF-IDF METRICS TO EXTRACT THE KNOWLEDGE AND RELEVANT LINGUISTIC MEANS ON SUBJECT-ORIENTED TEXT SETS

Published:2015-01-01 Issue:3 Volume:39 Page:429-435
ISSN:2412-6179
Container-title:Computer Optics
language:
Short-container-title:Kompʹût. opt.

Author:

Mikhaylov D. V.,Kozlov A. P.,Emelyanov G. M.

Publisher

Samara State National Research University

Subject

Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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2. Selection of Tools for Preprocessing and Thematic Modeling of Scientific Articles from the Data Lake;Pattern Recognition and Image Analysis;2023-09

3. Hierarchization of Topical Texts Based on the Estimate of Proximity to the Semantic Pattern without Paraphrasing;Pattern Recognition and Image Analysis;2020-07

4. WITHDRAWN: Bayesian Deep Convolutional Neural Network for SMS Quality Analysis;Journal of Visual Communication and Image Representation;2019-10

5. Relevance of a Set of Topical Texts to a Knowledge Unit and the Estimation of the Closeness of Linguistic Forms of Its Expression to a Semantic Pattern;Pattern Recognition and Image Analysis;2018-10

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