A Complete Process of Text Classification System Using State‐of‐the‐Art NLP Models

V Dogra, S Verma, Kavita, P Chatterjee… - Computational …, 2022 - Wiley Online Library
With the rapid advancement of information technology, online information has been
exponentially growing day by day, especially in the form of text documents such as news …

Conceptual modeling: topics, themes, and technology trends

VC Storey, R Lukyanenko, A Castellanos - ACM Computing Surveys, 2023 - dl.acm.org
Conceptual modeling is an important part of information systems development and use that
involves identifying and representing relevant aspects of reality. Although the past decades …

An open source machine learning framework for efficient and transparent systematic reviews

R Van De Schoot, J De Bruin, R Schram… - Nature machine …, 2021 - nature.com
To help researchers conduct a systematic review or meta-analysis as efficiently and
transparently as possible, we designed a tool to accelerate the step of screening titles and …

A stock price prediction method based on deep learning technology

X Ji, J Wang, Z Yan - International Journal of Crowd Science, 2021 - ieeexplore.ieee.org
Purpose–Stock price prediction is a hot topic and traditional prediction methods are usually
based on statistical and econometric models. However, these models are difficult to deal …

Characteristics and key trends of global electric vehicle technology development: A multi-method patent analysis

SC Ma, JH Xu, Y Fan - Journal of Cleaner Production, 2022 - Elsevier
To grasp the key characteristics and trends of the rapid development of electric vehicle (EV)
technology and to study the development trajectory and main holders of EV technology, this …

Dynamic graph convolutional networks based on spatiotemporal data embedding for traffic flow forecasting

W Zhang, K Zhu, S Zhang, Q Chen, J Xu - Knowledge-Based Systems, 2022 - Elsevier
Traffic flow forecasting has always been a challenge owing to its complicated spatiotemporal
dependencies. Few of previous works can exploit the implicit interactions among traffic …

An open automation system for predatory journal detection

LX Chen, SW Su, CH Liao, KS Wong, SM Yuan - Scientific Reports, 2023 - nature.com
The growing number of online open-access journals promotes academic exchanges, but the
prevalence of predatory journals is undermining the scholarly reporting process. Data …

Consumers' attitudes and their effects on electric vehicle sales and charging infrastructure construction: An empirical study in China

Y Wang, Y Chi, JH Xu, Y Yuan - Energy Policy, 2022 - Elsevier
There are close links and interactions among consumers' attitudes, the construction of
charging infrastructure, and the diffusion of new energy vehicles (NEVs). This study focuses …

[HTML][HTML] Extending business failure prediction models with textual website content using deep learning

P Borchert, K Coussement, A De Caigny… - European Journal of …, 2023 - Elsevier
Business failure prediction (BFP) is an important instrument in assessing the risk of
corporate failure. While a large body of research has focused on BFP, recent research in …

A hybrid approach of machine learning and lexicons to sentiment analysis: Enhanced insights from twitter data of natural disasters

S Mendon, P Dutta, A Behl, S Lessmann - Information Systems Frontiers, 2021 - Springer
The success factor of sentimental analysis lies in identifying the most occurring and relevant
opinions among users relating to the particular topic. In this paper, we develop a framework …