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Ferhat Karaca, Aidana Tleuken, Rocío Pineda-Martos, Sara Ros Cardoso, Daniil Orel, Rand Askar, Akmaral Agibayeva, Elena Goicolea Güemez, Adriana Salles, Huseyin Atakan Varol and Luis Braganca
Due to its intricate production processes, complex supply chains, and industry-specific characteristics, the construction industry faces unique challenges in adopting circular economy (CE) principles that promote resource equity. To address this issue, t...
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Gal Sasson and Yoed N. Kenett
Question-asking is a critical aspect of human communications. Yet, little is known about the reasons that lead people to ask questions, which questions are considered better than others, or what cognitive mechanisms allow the ability to ask informative q...
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Aida Nordman, Lothar Meyer, Karl Johan Klang, Jonas Lundberg and Katerina Vrotsou
Automation in Air Traffic Control (ATC) is gaining an increasing interest. Possible relevant applications are in automated decision support tools leveraging the performance of the Air Traffic Controller (ATCO) when performing tasks such as Conflict Detec...
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Carlos Vargas and Hiram Ponce
In this paper we propose the Recurrent Embedded Topic Model (RETM) which is a modification of the Embedded Topic Modelling (ETM) by reusing the Continuous Bag of Words (CBOW) that the model had implemented and applying it to a recurrent neural network (L...
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Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula and Deanna Needell
Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion. The technique amounts to an approximation of a nonnegative matrix as the product of two nonnegative matrices of lower rank. In certain...
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Ashokkumar Palanivinayagam, Claude Ziad El-Bayeh and Robertas Dama?evicius
Machine-learning-based text classification is one of the leading research areas and has a wide range of applications, which include spam detection, hate speech identification, reviews, rating summarization, sentiment analysis, and topic modelling. Widely...
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Najwa AlGhamdi, Shaheen Khatoon and Majed Alshamari
User-generated content on numerous sites is indicative of users? sentiment towards many issues, from daily food intake to using new products. Amid the active usage of social networks and micro-blogs, notably during the COVID-19 pandemic, we may glean ins...
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Stefan Claus and Massimo Stella
The ability to spot key ideas, trends, and relationships between them in documents is key to financial services, such as banks and insurers. Identifying patterns across vast amounts of domain-specific reports is crucial for devising efficient and targete...
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Sreejith Alathur, Naganna Chetty, Rajesh R. Pai, Vishal Kumar and Sahraoui Dhelim
This study aims to investigate the effect of metaphorical content on e-participation in healthcare. With this objective, the study assesses the awareness and capability of e-participants to navigate through healthcare metaphors during their participation...
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Ninghan Chen, Zhiqiang Zhong and Jun Pang
The outbreak of the COVID-19 led to a burst of information in major online social networks (OSNs). Facing this constantly changing situation, OSNs have become an essential platform for people expressing opinions and seeking up-to-the-minute information. ...
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