Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A complete process of text classification system using state‐of‐the‐art NLP models
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 …
exponentially growing day by day, especially in the form of text documents such as news …
Conceptual modeling: topics, themes, and technology trends
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 …
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 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 …
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
Sarcasm detection is one the most challenging task in natural language processing. Though
sentiment semantics are necessary to improve sarcasm detection performance, existing DL …
sentiment semantics are necessary to improve sarcasm detection performance, existing DL …
Multimodal sarcasm detection via hybrid classifier with optimistic logic
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 …
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 …
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
Many online communities that rely on effortful, voluntary content contributions offer
additional content curation tools to facilitate social interactions and encourage user …
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 …
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
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 …
corporate failure. While a large body of research has focused on BFP, recent research in …