Výsledky vyhľadávania - "DOCUMENT clustering"

SKIFF: Spherical K -means with iterative feature filtering for text document clustering.

Autori: Sharma, Iti Sharma, Abhay Chaturvedi, Rekha a ďalší

Zdroj: Journal of Information Science. Oct2025, Vol. 51 Issue 5, p1204-1216. 13p.

Predmety: *INFORMATION retrieval, DOCUMENT clustering, K-means clustering, DIMENSIONAL reduction algorithms, TEXT mining, COMPUTER performance, FEATURE selection

Topic‐Sentiment Hybrid Networks for Explainable Document Clustering: A Probabilistic Multi‐Dimensional Similarity Analysis.

Autori: Ortu, Marco¹ (AUTHOR) marco.ortu@unica.it

Zdroj: Applied Stochastic Models in Business & Industry. Jul/Aug2025, Vol. 41 Issue 4, p1-26. 26p.

Predmety: *CUSTOMER experience, *CLUSTER analysis (Statistics), *DISTRIBUTION (Probability theory), DOCUMENT clustering, COMMUNICATION network analysis, EMOTIONS

Text Classification Using Graph Convolutional Networks: A Comprehensive Survey.

Autori: Haider Rizvi, Syed Mustafa Imran, Ramsha Mahmood, Arif

Zdroj: ACM Computing Surveys. Aug2025, Vol. 57 Issue 8, p1-38. 38p.

Predmety: GRAPH neural networks, DOCUMENT clustering, EVALUATION methodology

FLACON: An Information-Theoretic Approach to Flag-Aware Contextual Clustering for Large-Scale Document Organization.

Autori: Yoon, Sungwook¹ (AUTHOR)

Zdroj: Entropy. Nov2025, Vol. 27 Issue 11, p1133. 24p.

Predmety: *INFORMATION theory, *DOCUMENT clustering, *MAXIMUM entropy method, *COMPUTER performance, *RECORDS management, *HIERARCHICAL clustering (Cluster analysis)

An Efficient Document Clustering Approach for Devising Semantic Clusters.

Autori: Jasila, E. K. Saleena, N. Abdul Nazeer, K. A.

Zdroj: Cybernetics & Systems. 2025, Vol. 56 Issue 5, p526-543. 18p.

Predmety: *K-means clustering, *DOCUMENT clustering, *FEATURE extraction, *ACQUISITION of data, *CENTROID

Comparing human-perceived cluster characteristics through the lens of CIPHE: measuring coherence beyond keywords

Autori: Eklund, Anton Forsman, Mona Drewes, Frank

Zdroj: Journal of Data Mining and Digital Humanities. NLP4DH

Predmety: document clustering, topic modeling, topic modeling evaluation, news clustering, topic coherence, human evaluation methods, crowdsourced cluster validation, BERTopic, CIPHE, Computer Science, datalogi

Popis súboru: electronic

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-236229
https://doi.org/10.46298/jdmdh.15044

DACL+: domain-adapted contrastive learning for enhanced low-resource language representations in document clustering tasks.

Autori: Zaikis, Dimitrios Vlahavas, Ioannis

Zdroj: Neural Computing & Applications. Jun2025, Vol. 37 Issue 17, p10577-10590. 14p.

Predmety: *LOW-resource languages, *DOCUMENT clustering, *GREEK language, *LATENT variables, *MACHINE learning, *LANGUAGE models

Use of livestock by jaguar (Panthera onca) in an agrolandscape of northeastern Mexico.

Autori: Silva-Caballero, Adrián Bender, Louis C. Rosas-Rosas, Octavio C. a ďalší

Zdroj: Studies on Neotropical Fauna & Environment. Apr2025, Vol. 60 Issue 1, p80-88. 9p.

Predmety: *GLOBAL Positioning System, *DOCUMENT clustering, *WHITE-tailed deer, *BIOSPHERE reserves, *UNGULATES, *JAGUAR

JSON document clustering based on schema embeddings.

Autori: Priya, D Uma Thilagam, P Santhi

Zdroj: Journal of Information Science. Oct2024, Vol. 50 Issue 5, p1112-1130. 19p.

Predmety: *DATA warehousing, *ALGORITHMS, DOCUMENT clustering, ACQUISITION of data, POPULARITY

Unprecedented Rough Sets Model for Arabic Document Clustering.

Autori: Salman, Khitam A. Khafaji, Hussein K.

Zdroj: Ingénierie des Systèmes d'Information. Dec2024, Vol. 29 Issue 6, p2503-2513. 11p.

Predmety: *DATA mining, CLUSTER set theory, DOCUMENT clustering, CLUSTERING algorithms, WEIGHTED graphs

Explainable Graph Spectral Clustering of text documents.

Autori: Starosta, Bartłomiej Kłopotek, Mieczysław A. Wierzchoń, Sławomir T. a ďalší

Zdroj: PLoS ONE. 2/4/2025, Vol. 20 Issue 2, p1-41. 41p.

Predmety: *DOCUMENT clustering, *ALGORITHMS, *MOTIVATION (Psychology), *EXPLANATION, *MATRICES (Mathematics), *COSINE function

Leveraging large language models to enhance clustering-based topic modeling.

Autori: Hernandez-Camero, Ines Garcia-Cabot, Antonio Garcia-Lopez, Eva a ďalší

Zdroj: Knowledge & Information Systems; Dec2025, Vol. 67 Issue 12, p12661-12697, 37p

Predmety: LANGUAGE models, CLUSTERING algorithms, DOCUMENT clustering, DATA quality, DATA mining

Enhancing AG News Classification With Hypergraph Attention Networks and Quadratic SVM.

Autori: Sampath, Pradeepa Krishna, Biyyapu Sai Hari Vimal, Shanmuganathan a ďalší

Zdroj: Expert Systems; Dec2025, Vol. 42 Issue 12, p1-18, 18p

Predmety: AUTOMATIC classification, SUPPORT vector machines, DOCUMENT clustering, JOURNALISM, CLASSIFICATION, ARTIFICIAL neural networks, DEEP learning

Mining user reviews for method-level bug localization using transformers in java-based applications.

Autori: Mansouri, Nesrine Soui, Makram Kessentini, Marouane

Zdroj: Neural Computing & Applications; Nov2025, Vol. 37 Issue 32, p26303-26320, 18p

Predmety: TRANSFORMER models, JAVA programming language, FAULT diagnosis, DOCUMENT clustering, SENTIMENT analysis, CONSUMERS' reviews, COMPUTER software quality control

Reviews & Products: ANDROID (Operating system)

基于用户视域与 BERTopic 主题模型的 高校图书馆用户需求探析. (Chinese)

Alternate Title: Analysis of Academic Library User Needs Based on User Perspective and BERTopic Model. (English)

Autori: 黎春兰 张英杰 李 梅

Zdroj: Journal of Academic Library & Information Science; 11/10/2025, Vol. 43 Issue 6, p91-101, 11p

Predmety: ACADEMIC libraries, INFORMATION needs, DOCUMENT clustering, DATA analysis, INFORMATION technology, USER experience, LIBRARY public services

深度学习方法下的文本聚类模型研究进展. (Chinese)

Alternate Title: Advances in Text Clustering Models Based on Deep Learning Approaches. (English)

Autori: 史东艳 马乐荣 丁苍峰 a ďalší

Zdroj: Journal of Frontiers of Computer Science & Technology; Nov2025, Vol. 19 Issue 11, p2873-2894, 22p

Predmety: DEEP learning, LANGUAGE models, LATENT structure analysis, FEATURE extraction, DATA mining, CLUSTERING algorithms, CONTENT analysis, DOCUMENT clustering

Privacy Text Clustering Method Based on Burst Feature of Words.

Autori: Wu, Xia Li, Zehan Wang, Yong a ďalší

Zdroj: Concurrency & Computation: Practice & Experience; 10/25/2025, Vol. 37 Issue 23/24, p1-13, 13p

Predmety: PRIVACY, DOCUMENT clustering, TEXT mining, WAVELETS (Mathematics), DISTRIBUTED artificial intelligence

Adaption of RWI DT D algorithm medical text documents clustering to enhance the performance.

Autori: Patel, Falguni M. Mehta, Mala H.

Zdroj: Procedia Computer Science. 2025, Vol. 269, p1398-1405. 8p.

Predmety: Document clustering, Algorithms, Medical literature, Classification, Text processing (Computer science)

Collective Dynamics in the Awakening of Sleeping Beauty Patents: A BERTopic Approach.

Autori: Mun, Hee Jin Lee, Sanghoon

Zdroj: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10395, 14p

Predmety: PATENTS, COLLECTIVE behavior, INFORMATION measurement, DOCUMENT clustering

易混淆样本驱动的簇间分布优化短文本聚类. (Chinese)

Alternate Title: Confusing sample-driven inter-cluster optimization method for short text clustering. (English)

Autori: 恩卡尔·奴尔太 马 博 王 震 a ďalší

Zdroj: Application Research of Computers / Jisuanji Yingyong Yanjiu; Oct2025, Vol. 42 Issue 10, p2996-3004, 9p

Predmety: ENTROPY (Information theory), DATA augmentation, LANGUAGE models, MACHINE learning, DOCUMENT clustering, CLUSTERING algorithms, SAMPLING methods