Suchergebnisse - "Text clustering"

Text clustering with large language model embeddings

Autoren: Alina Petukhova João P. Matos-Carvalho Nuno Fachada

Quelle: International Journal of Cognitive Computing in Engineering, Vol 6, Iss, Pp 100-108 (2025)

Schlagwörter: I.7.m, FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science - Computation and Language, Computer Science - Artificial Intelligence, I.2.6, Science, I.2.7, QA75.5-76.95, Text summarisation, Machine Learning (cs.LG), Text clustering, Artificial Intelligence (cs.AI), Electronic computers. Computer science, Large language models, 68T50 (Primary), 62H30 (Secondary), Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2403.15112
https://doaj.org/article/0d07ddd5e301430f8c147693d73f9264

Comparative analysis of text mining and clustering techniques for assessing functional dependency between manual test cases

Autoren: Tahvili, Sahar Hatvani, Leo Felderer, Michael et al.

Quelle: Software quality journal. 33(2)

Schlagwörter: Artificial intelligence, Clustering, Natural language processing, Software testing, Text mining, Cluster analysis, Natural language processing systems, Verification, Clustering techniques, Clusterings, Functional dependency, Language processing, Natural languages, Software testings, Text Clustering, Text mining techniques, Text-mining, Integration testing

Dateibeschreibung: electronic

Zugangs-URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-27917
https://bth.diva-portal.org/smash/get/diva2:1961992/FULLTEXT01.pdf

High dimensional text data parallel clustering algorithm based on K-means and SAE

Autoren: Jie Zhang

Quelle: Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-24 (2025)

Schlagwörter: K-means, S-competitive autoencoder, Dragonfly optimization algorithm, Extreme learning machine, Text clustering, Computational linguistics. Natural language processing, P98-98.5, Electronic computers. Computer science, QA75.5-76.95

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2731-0809

Zugangs-URL: https://doaj.org/article/84c84e5bfc5d45a4811963fd2180055b

Finding Conflicts of Opinion in Citizen Participation Platforms

Autoren: Aboucaya, William Balalau, Oana Angarita, Rafael et al.

Weitere Verfasser: Aboucaya, William Balalau, Oana Angarita, Rafael et al.

Quelle: 2024 IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). :70-77

Schlagwörter: Natural language processing, Online collaboration, Recommandation de documents, Natural language inference, Traitement automatique du langage naturel, Text clustering, Collaboration en ligne, [INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY], Inférence en langage naturel, [INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL], Clustering de documents, text recommendation, Citizen participation, Participation citoyenne

Dateibeschreibung: application/pdf

Zugangs-URL: https://inria.hal.science/hal-04870985v1

Generation and discrimination of aviation product failure modes based on text mining

Autoren: GAO Long WANG Xiaotian HOU Chenguang et al.

Quelle: Hangkong gongcheng jinzhan, Vol 16, Iss 4, Pp 208-218 (2025)

Schlagwörter: aviation product, failure data, failure modes, text mining, text clustering, text classification, Motor vehicles. Aeronautics. Astronautics, TL1-4050

Dateibeschreibung: electronic resource

Relation: http://hkgcjz.cnjournals.com/hkgcjz/article/abstract/2024153; https://doaj.org/toc/1674-8190

Zugangs-URL: https://doaj.org/article/a0e78468bf54479d81c5c439da115726

Text Clustering Approach Based on Key Semantic Driven and Contrastive Learning

Autoren: ZHANG Shiju, GUO Chaoyang, WU Chengliang, WU Lingjun, YANG Fengyu

Quelle: Jisuanji kexue, Vol 52, Iss 8, Pp 171-179 (2025)

Schlagwörter: information extraction, denote space, text clustering, key semantic-driven, contrastive learning, Computer software, QA76.75-76.765, Technology (General), T1-995

Dateibeschreibung: electronic resource

Relation: https://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2025-52-8-171.pdf; https://doaj.org/toc/1002-137X

Zugangs-URL: https://doaj.org/article/fde32a1938444defabe80c6da409b6cb

A Method for Assessing Urban Industrial Ecological Efficiency Using SBM-GML Model with Tax Reduction

Autoren: Yuchen Guo Jianwei Guo

Quelle: HighTech and Innovation Journal, Vol 5, Iss 4, Pp 885-900 (2024)

Schlagwörter: industrial ecological efficiency, Technological innovations. Automation, sbm-gml, measure, tax reduction policy, HD45-45.2, lda text clustering

Zugangs-URL: https://doaj.org/article/758a7653848b439788a329d6ce257d27

VISUALIZING AND CLUSTERING FAKE JOB POSTINGS: DATA-DRIVEN INSIGHTS FOR FRAUD DETECTION

Autoren: Chee Keong Ch’ng Xiang Yi Wong

Quelle: Barekeng, Vol 20, Iss 1 (2025)

Schlagwörter: Data visualization, Fake job postings, Fraud detection, Job scams, Text clustering, Probabilities. Mathematical statistics, QA273-280

Dateibeschreibung: electronic resource

Relation: https://ojs3.unpatti.ac.id/index.php/barekeng/article/view/18471; https://doaj.org/toc/1978-7227; https://doaj.org/toc/2615-3017

Zugangs-URL: https://doaj.org/article/fbfb5da0502d4ddbaa34872a509be1e2

Toward an ecosystem of non-fungible tokens from mapping public opinions on social media

Autoren: Yunfei Xing Justin Z. Zhang Yuming He et al.

Quelle: Financial Innovation, Vol 11, Iss 1, Pp 1-24 (2025)

Schlagwörter: NFTs, Public opinion, Comparative analysis, Text clustering, Topic identification, Twitter, Public finance, K4430-4675, Finance, HG1-9999

Dateibeschreibung: electronic resource

Relation: https://doaj.org/toc/2199-4730

Zugangs-URL: https://doaj.org/article/cdeb4b2810144a929d3fc855db78adc7

Revisiting clustering for efficient unsupervised dialogue structure induction

Autoren: Maarten De Raedt Fréderic Godin Chris Develder et al.

Quelle: APPLIED INTELLIGENCE

Schlagwörter: Text clustering, Technology and Engineering, Information extraction, Dialogue structure induction, Sentence representation learning, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Efficient NLP

Dateibeschreibung: application/pdf

Zugangs-URL: https://biblio.ugent.be/publication/01HWMK6B330G3RD4471KSKGWA2/file/01HWMK7X4A82W0K842PXYWRH5N
https://biblio.ugent.be/publication/01HWMK6B330G3RD4471KSKGWA2
http://doi.org/10.1007/s10489-024-05455-5
http://hdl.handle.net/1854/LU-01HWMK6B330G3RD4471KSKGWA2

Human-interpretable clustering of short text using large language models

Autoren: Justin K. Miller Tristram J. Alexander

Quelle: R Soc Open Sci
Royal Society Open Science, Vol 12, Iss 1 (2025)

Schlagwörter: FOS: Computer and information sciences, Computer Science - Machine Learning, Computer Science and Artificial Intelligence, Computer Science - Computation and Language, Science, I.2.7, clustering validation, large language models, text clustering, Computation and Language (cs.CL), Machine Learning (cs.LG)

Zugangs-URL: http://arxiv.org/abs/2405.07278
https://doaj.org/article/d0552615897e4049975c7df78259c11e

Event Graph-Based News Clustering: The Role of Named Entity-Centered Subgraphs

Autoren: Basak Buluz Kömeçoğlu Burcu Yilmaz

Quelle: IEEE Access, Vol 12, Pp 105613-105632 (2024)

Schlagwörter: Frequent subgraph mining, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, natural language processing, text clustering, low-resource language, TK1-9971

Zugangs-URL: https://doaj.org/article/e58fdad89b0c4add91042b0c2dbb4f6a
https://aperta.ulakbim.gov.tr/record/275735

Neural Network Meaningful Learning Theory and its Application for Deep Text Clustering

Autoren: Elnaz Zafarani-Moattar Mohammad Reza Kangavari Amir Masoud Rahmani

Quelle: IEEE Access, Vol 12, Pp 42411-42422 (2024)

Schlagwörter: Neural network meaningful learning theory, topic detection, deep text clustering, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, sentence similarity, TK1-9971

Zugangs-URL: https://doaj.org/article/bb6ff17214274d4b8d67d5e8c78f5977

Enhancing Low Carbon Awareness in Social Media Discourse: A Fuzzy Clustering Approach

Autoren: Chao Han Xuezhi Sun

Quelle: IEEE Access, Vol 12, Pp 3200-3207 (2024)

Schlagwörter: Social media, low carbon, FCM, 13. Climate action, 11. Sustainability, 0211 other engineering and technologies, 0202 electrical engineering, electronic engineering, information engineering, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, text clustering, TK1-9971

Zugangs-URL: https://doaj.org/article/f76daf1814d4430d8edbafce01fd5680

Amharic document clustering using semantic information from neural word embedding and encyclopedic knowledge

Autoren: Dessalew Yohannes Yenewondim Biadgie Sinshaw Surafiel Habib Asefa et al.

Quelle: Scientific African, Vol 28, Iss , Pp e02657- (2025)

Schlagwörter: Amharic document clustering, Hierarchical concept-based text clustering, Document feature expansion, Semantic information extraction, Neural word embedding, Encyclopedic knowledge, Science

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2468227625001279; https://doaj.org/toc/2468-2276

Zugangs-URL: https://doaj.org/article/1254facf3c3f4f1bbe78ade0248aee0b

Clustering digital mental health perceptions using transformer-based models

Autoren: Ayodeji O.J. Ibitoye Oladosu O. Oladimeji Oluwaseyi F. Afe

Quelle: Franklin Open, Vol 11, Iss , Pp 100262- (2025)

Schlagwörter: Mental health, Text clustering, Transformer-based architectures, Decision support, Mental health perspectives, Digital mental health, Technology

Dateibeschreibung: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2773186325000520; https://doaj.org/toc/2773-1863

Zugangs-URL: https://doaj.org/article/ab9f5cb29bbd4fe5b4b26140529477eb

Tensor-based Graph Modularity for Text Data Clustering

Autoren: Boutalbi, Rafika Ait-Saada, Mira Iurshina, Anastasiia et al.

Weitere Verfasser: Boutalbi, Rafika Ait-Saada, Mira Iurshina, Anastasiia et al.

Quelle: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. :2227-2231

Schlagwörter: Word embedding, • Graph theory, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, 02 engineering and technology, NLP, • Clustering → Tensor data, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], • Unsupervised learning, • NLP → Word embedding, Text clustering, Tensor, • Unsupervised learning • Clustering → Tensor data • NLP → Word embedding • Graph theory Text clustering, 0202 electrical engineering, electronic engineering, information engineering, Graphs

Dateibeschreibung: application/pdf; text

Zugangs-URL: https://cnrs.hal.science/hal-04471751v1
https://doi.org/10.1145/3477495.3531834
https://cnrs.hal.science/hal-04471751v1/document
https://eprints.soton.ac.uk/458195/

Text clustering for analyzing scientific article using pre-trained language model and k-means algorithm

Autoren: Firdaus, Firdaus Nurmaini, Siti Yusliani, Novi et al.

Quelle: Bulletin of Electrical Engineering and Informatics; Vol 14, No 5: October 2025; 3728-3740 ; 2302-9285 ; 2089-3191 ; 10.11591/eei.v14i5

Schlagwörter: Computational Linguistic, Text Mining, Bidirectional encoder representations from transformers, IndoBERT, K-means algorithm, Pre-trained language model, Text clustering

Dateibeschreibung: application/pdf

Relation: https://beei.org/index.php/EEI/article/view/9670/4389; https://beei.org/index.php/EEI/article/view/9670

Verfügbarkeit: https://beei.org/index.php/EEI/article/view/9670
https://doi.org/10.11591/eei.v14i5.9670

Using Big Data from Internet to Improve Land Use Transition Effects on Eco-Environment

Autoren: Tong Liu Shijun Wang Zhangxian Feng et al.

Schlagwörter: Communications engineering, Information and computing sciences, Distributed computing and systems software, Information systems, Contrastive learning, Text clustering, Bibliometric, Big data

Relation: 2381/28644281.v1

Verfügbarkeit: https://figshare.com/articles/journal_contribution/Using_Big_Data_from_Internet_to_Improve_Land_Use_Transition_Effects_on_Eco-Environment/28644281

Text Clustering with Pre-Trained Models: BERT, RoBERTa, ALBERT and MPNet

Autoren: Oğuzhan Alagöz Taner Uçkan

Quelle: Volume: 5, Issue: 237-46
NATURENGS

Schlagwörter: Computer Software, Natural language processing, sentence transformers, pre-trained models, text clustering, representation, Bilgisayar Yazılımı

Dateibeschreibung: application/pdf

Zugangs-URL: https://dergipark.org.tr/tr/pub/naturengs/issue/89337/1577517