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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...
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Panagiotis Skondras, Nikos Zotos, Dimitris Lagios, Panagiotis Zervas, Konstantinos C. Giotopoulos and Giannis Tzimas
This article presents a study on the multi-class classification of job postings using machine learning algorithms. With the growth of online job platforms, there has been an influx of labor market data. Machine learning, particularly NLP, is increasingly...
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Yusung An, Hayoung Oh and Joosik Lee
The feedback shared by consumers on e-commerce platforms holds immense value in marketing, as it offers insights into their opinions and preferences, which are readily accessible. However, analyzing a large volume of reviews manually is impractical. Ther...
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Xing Liu, Fupeng Wei, Wei Jiang, Qiusheng Zheng, Yaqiong Qiao, Jizong Liu, Liyue Niu, Ziwei Chen and Hangcheng Dong
Existing methods for monitoring internet public opinion rely primarily on regular crawling of textual information on web pages but cannot quickly and accurately acquire and identify textual information in images and videos and discriminate sentiment. The...
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Nathalie Campos Macias, Wilhelm Düggelin, Yesim Ruf and Thomas Hanne
Finding, retrieving, and processing information on technology from the Internet can be a tedious task. This article investigates if technological concepts such as web crawling and natural language processing are suitable means for knowledge discovery fro...
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Yitao Zhang, Weiming Cai, Shengli Fan, Ruiyin Song and Jing Jin
Real-time detection and identification of orchard pests is related to the economy of the orchard industry. Using lab picture collections and pictures from web crawling, a dataset of common pests in orchards has been created. It contains 24,748 color imag...
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Zhongkai Dang, Lixiang Li, Haipeng Peng and Jiaxuan Zhang
Since the outbreak of COVID-19, in addition to the continuous increment in the number of infected patients, the number of COVID-19-related papers has also increased significantly. According to the statistics, its number even exceeds the research of some ...
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Wenjia Zhang, Jiancheng Zhu and Pu Zhao
City networks are multiplex and diverse rather than being regarded as part of a single universal model that is valid worldwide. This study contributes to the debate on multiple globalizations by distinguishing multiscale structures of world city networks...
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Hossam El-Din Hassanien
Scientific web repositories are central cyber locations where academic papers are stored and maintained. With the nature of the unstructured and semi-structured information/metadata within these repositories, literature analysis for scholar writing becom...
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Arne Defauw, Sara Szoc, Anna Bardadym, Joris Brabers, Frederic Everaert, Roko Mijic, Kim Scholte, Tom Vanallemeersch, Koen Van Winckel and Joachim Van den Bogaert
To build state-of-the-art Neural Machine Translation (NMT) systems, high-quality parallel sentences are needed. Typically, large amounts of data are scraped from multilingual web sites and aligned into datasets for training. Many tools exist for automati...
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