Search Results - subject:"Text classification"

A deep learning-based sentiment analysis approach for online product ranking with probabilistic linguistic term sets

Liu, Zixu; Liao, Huchang; Li, Maolin; Yang, Qian; Meng, … - In: IEEE transactions on engineering management : EM ; a … 71 (2024), pp. 6677-6694

Persistent link: https://www.econbiz.de/10015412929

Greasing the wheels for comparative communication research: Supervised text classification for multilingual corpora

Lind, Fabienne; Heidenreich, Tobias; Kralj, Christoph; … - In: Computational Communication Research 3 (2021) 3, pp. 1-30

Employing supervised machine learning for text classification is already a resource-intensive endeavor in a monolingual …

Persistent link: https://www.econbiz.de/10012888132

Unintended emotional effects of online health communities : a text mining-supported empirical study

Zhou, Jiaqi; Zhang, Qingpeng; Zhou, Sijia; Li, Xin; … - In: MIS quarterly 47 (2023) 1, pp. 195-226

Persistent link: https://www.econbiz.de/10013556956

Text classification in tourism and hospitality : a deep learning perspective

Liu, Jun; Hu, Sike; Mehraliyev, Fuad; Liu, Haolong - In: International journal of contemporary hospitality management 35 (2023) 12, pp. 4177-4190

Persistent link: https://www.econbiz.de/10014430102

Designing a classifying system for nonprofit organizations using textual contents from the mission statement

Lee, Heejae; Wang, Xinxin; Dull, Richard B. - In: The journal of information systems : JIS ; a semiannual … 37 (2023) 3, pp. 33-58

Persistent link: https://www.econbiz.de/10014431248

Topic modelling applied on innovation studies of Flemish companies

Crijns, Annelien; Vanhullebusch, Victor; Reusens, Manon; … - In: Journal of business analytics 6 (2023) 4, pp. 243-254

Persistent link: https://www.econbiz.de/10014369313

Concept-drift detection index based on fuzzy formal concept analysis for fake news classifiers

Fenza, Giuseppe; Gallo, Mariacristina; Loia, Vincenzo; … - In: Technological forecasting & social change : an … 194 (2023), pp. 1-11

Persistent link: https://www.econbiz.de/10014475864

Comprehensive review of text-mining applications in finance

Gupta, Aaryan; Dengre, Vinya; Kheruwala, Hamza Abubakar; … - In: Financial Innovation 6 (2020) 1, pp. 1-25

Text-mining technologies have substantially affected financial industries. As the data in every sector of finance have grown immensely, text mining has emerged as an important field of research in the domain of finance. Therefore, reviewing the recent literature on text-mining applications in...

Persistent link: https://www.econbiz.de/10012602873

Automatic classification of older electronic texts into the Universal Decimal Classification–UDC

Kragelj, Matjaž; Kljajić Borštnar, Mirjana - In: Journal of Documentation 77 (2020) 3, pp. 755-776

Purpose The purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal Classification (UDC), using machine-learning methods. Design/methodology/approach The general research approach is inherent to design science research, in which...

Persistent link: https://www.econbiz.de/10014855206

Comprehensive review of text‑mining applications in finance

Gupta, Aaryan; Dengre, Vinya; Kheruwala, Hamza Abubakar; … - In: Financial innovation : FIN 6 (2020) 39, pp. 1-25

Persistent link: https://www.econbiz.de/10012317572