Chen, Xieling Zou, Di Xie, Haoran Wang, Fu Lee
Published in
International Journal of Educational Technology in Higher Education
Innovative information and communication technologies have reformed higher education from the traditional way to smart learning. Smart learning applies technological and social developments and facilitates effective personalized learning with innovative technologies, especially smart devices and online technologies. Smart learning has attracted inc...
Gupta, Marichi Bansal, Aditya Jain, Bhav Rochelle, Jillian Oak, Atharv Jalali, Mohammad S
Published in
International journal of medical informatics
The potential ability for weather to affect SARS-CoV-2 transmission has been an area of controversial discussion during the COVID-19 pandemic. Individuals' perceptions of the impact of weather can inform their adherence to public health guidelines; however, there is no measure of their perceptions. We quantified Twitter users' perceptions of the ef...
Panichella, A. (author)
Context: Latent Dirichlet Allocation (LDA) has been successfully used in the literature to extract topics from software documents and support developers in various software engineering tasks. While LDA has been mostly used with default settings, previous studies showed that default hyperparameter values generate sub-optimal topics from software doc...
Ashihara, Kazuki El Vaigh, Cheikh Brahim Chu, Chenhui Renoust, Benjamin Okubo, Noriko Takemura, Noriko Nakashima, Yuta Nagahara, Hajime
Published in
Applied Network Science
Topic modeling that can automatically assign topics to legal documents is very important in the domain of computational law. The relevance of the modeled topics strongly depends on the legal context they are used in. On the other hand, references to laws and prior cases are key elements for judges to rule on a case. Taken together, these references...
Pouliliou, Stamatia Nikolaidis, Christos Drosatos, George
Published in
Cancer immunology, immunotherapy : CII
Cancer immunotherapy is a rapidly growing field that is completely transforming oncology care. Mining this knowledge base for biomedically important information is becoming increasingly challenging, due to the expanding number of scientific publications, and the dynamic evolution of this subject with time. In this study, we have employed a literatu...
Liang, Dingge Corneli, Marco Bouveyron, Charles Latouche, Pierre
We introduce a deep latent recommender system named deepLTRS in order to provide users with high quality recommendations based on observed user ratings and texts of product reviews. The underlying motivation is that, when a user scores only a few products, the texts used in the reviews represent a significant source of information. Using this infor...
Rumbut, Joshua Fang, Hua Wang, Honggong
Published in
Smart health (Amsterdam, Netherlands)
Longitudinal observational and randomized controlled trials (RCT) are widely applied in biomedical behavioral studies and increasingly implemented in smart health systems. These trials frequently produce data that are high-dimensional, correlated, and contain missing values, posing significant analytic challenges. Notably, visual analytics are unde...
Kaveh-Yazdy, Fatemeh Zarifzadeh, Sajjad
Published in
International Journal of Medical Informatics
Background Since the World Health Organization (WHO) declared the COVID-19 as a Public Health Emergency of International Concern (PHEIC) on January 31, 2020, governments have been enfaced with crisis for timely responses. The efficacy of these responses directly depends on the social behaviors of the target society. People react to these actions wi...
Asghari, Mohsen Sierra-Sosa, Daniel Elmaghraby, Adel S
Published in
Information processing & management
Real-time processing and learning of conflicting data, especially messages coming from different ideas, locations, and time, in a dynamic environment such as Twitter is a challenging task that recently gained lots of attention. This paper introduces a framework for managing, processing, analyzing, detecting, and tracking topics in streaming data. W...
Singh, Jagrati Singh, Anil Kumar
Published in
Annals of Mathematics and Artificial Intelligence
Social networks like Twitter, Facebook have recently become the most widely used communication platforms for people to propagate information rapidly. Fast diffusion of information creates accuracy and scalability issues towards topic detection. Most of the existing approaches can detect the most popular topics on a large scale. However, these appro...
