436   Artículos

 
en línea
Timotej Jagric and Alja? Herman    
This paper presents a broad study on the application of the BERT (Bidirectional Encoder Representations from Transformers) model for multiclass text classification, specifically focusing on categorizing business descriptions into 1 of 13 distinct industr... ver más
Revista: Information    Formato: Electrónico

 
en línea
Xingxing Tong, Ming Chen and Guofu Feng    
The issue of aquatic product quality and safety has gradually become a focal point of societal concern. Analyzing textual comments from people about aquatic products aids in promptly understanding the current sentiment landscape regarding the quality and... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Haidi Badr, Nayer Wanas and Magda Fayek    
Unsupervised domain adaptation (UDA) presents a significant challenge in sentiment analysis, especially when faced with differences between source and target domains. This study introduces Weighted Sequential Unsupervised Domain Adaptation (WS-UDA), a no... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Lowri Williams, Eirini Anthi and Pete Burnap    
The performance of emotive text classification using affective hierarchical schemes (e.g., WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the performance of when a finite set of isolated classes are used. However,... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Hamed Alshammari, Ahmed El-Sayed and Khaled Elleithy    
The effectiveness of existing AI detectors is notably hampered when processing Arabic texts. This study introduces a novel AI text classifier designed specifically for Arabic, tackling the distinct challenges inherent in processing this language. A parti... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Hugo Silva, Vítor Duque, Mário Macedo and Mateus Mendes    
The International Classification of Diseases, 10th edition (ICD-10), has been widely used for the classification of patient diagnostic information. This classification is usually performed by dedicated physicians with specific coding training, and it is ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Zhejun Zhang, Huiying Chen, Ruonan Huang, Lihong Zhu, Shengling Ma, Larry Leifer and Wei Liu    
This study introduces a novel tool for classifying user needs in user experience (UX) design, specifically tailored for beginners, with potential applications in education. The tool employs the Kano model, text analysis, and deep learning to classify use... ver más
Revista: AI    Formato: Electrónico

 
en línea
Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Francisco J. Ribadas-Pena and Néstor Bolaños    
In the context of academic expert finding, this paper investigates and compares the performance of information retrieval (IR) and machine learning (ML) methods, including deep learning, to approach the problem of identifying academic figures who are expe... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Meng Li, Jiqiang Liu and Yeping Yang    
Data governance is an extremely important protection and management measure throughout the entire life cycle of data. However, there are still data governance issues, such as data security risks, data privacy breaches, and difficulties in data management... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Lucas Lopes Oliveira, Xiaorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah    
Early identification of acute gout is crucial, enabling healthcare professionals to implement targeted interventions for rapid pain relief and preventing disease progression, ensuring improved long-term joint function. In this study, we comprehensively e... ver más
Revista: Forecasting    Formato: Electrónico

« Anterior     Página: 1 de 25     Siguiente »