748   Artículos

 
en línea
Melania Nitu and Mihai Dascalu    
Machine-generated content reshapes the landscape of digital information; hence, ensuring the authenticity of texts within digital libraries has become a paramount concern. This work introduces a corpus of approximately 60 k Romanian documents, including ... ver más
Revista: Future Internet    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
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
Hanan M. Alghamdi    
Sentiment analysis plays a crucial role in understanding public opinion and social media trends. It involves analyzing the emotional tone and polarity of a given text. When applied to Arabic text, this task becomes particularly challenging due to the lan... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Marie-Therese Charlotte Evans, Majid Latifi, Mominul Ahsan and Julfikar Haider    
Keyword extraction from Knowledge Bases underpins the definition of relevancy in Digital Library search systems. However, it is the pertinent task of Joint Relation Extraction, which populates the Knowledge Bases from which results are retrieved. Recent ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Thoralf Reis, Lukas Dumberger, Sebastian Bruchhaus, Thomas Krause, Verena Schreyer, Marco X. Bornschlegl and Matthias L. Hemmje    
Manual labeling and categorization are extremely time-consuming and, thus, costly. AI and ML-supported information systems can bridge this gap and support labor-intensive digital activities. Since it requires categorization, coding-based analysis, such a... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Li Tan, Jiayi Jiang, Meng Guo and Yujia Zhong    
Land use types other than specialized athletic fields provide a variety of jogging environments, addressing the shortage of urban fitness facilities and promoting urban health as well as sustainability. Currently, there is limited research comparing the ... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Jun Peng and Baohua Su    
The task of aspect-based sentiment analysis (ASBA) is to identify all the sentiment analyses expressed by specific aspect words in the text. How to identify specific objects (i.e., aspect words), describe the modifiers of the specific objects (i.e., opin... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mahammad Khalid Shaik Vadla, Mahima Agumbe Suresh and Vimal K. Viswanathan    
Understanding customer emotions and preferences is paramount for success in the dynamic product design landscape. This paper presents a study to develop a prediction pipeline to detect the aspect and perform sentiment analysis on review data. The pre-tra... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Dominik Warch, Patrick Stellbauer and Pascal Neis    
In the digital transformation era, video media libraries? untapped potential is immense, restricted primarily by their non-machine-readable nature and basic search functionalities limited to standard metadata. This study presents a novel multimodal metho... ver más
Revista: Future Internet    Formato: Electrónico

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