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 …

Research on strategies for improving green product consumption sentiment from the perspective of big data

L Wang, L Chen, C Li - Journal of Retailing and Consumer Services, 2024 - Elsevier
Promoting green development by stimulating consumers' green consumption sentiment is
an important measure to achieve carbon peaking and carbon neutrality goals in China. This …

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 …

Deep hybrid model with trained weights for multimodal sarcasm detection

D Bavkar, R Kashyap, V Khairnar - International conference on information …, 2023 - Springer
Sarcasm detection is one the most challenging task in natural language processing. Though
sentiment semantics are necessary to improve sarcasm detection performance, existing DL …

Multimodal sarcasm detection via hybrid classifier with optimistic logic

DM Bavkar, R Kashyap, V Khairnar - Journal of Telecommunications and …, 2022 - jtit.pl
This work aims to provide a novel multimodal sarcasm detection model that includes four
stages: pre-processing, feature extraction, feature level fusion, and classification. The pre …

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 …

Consequences of information feed integration on user engagement and contribution: A natural experiment in an online knowledge-sharing community

Z Cao, Y Zhu, G Li, L Qiu - Information Systems Research, 2024 - pubsonline.informs.org
Many online communities that rely on effortful, voluntary content contributions offer
additional content curation tools to facilitate social interactions and encourage user …

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 …

[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 …