Text clustering is a task for grouping extracted information of the text in different clusters, which has many applications in recommender systems, sentiment analysis, and more. Deep …
Background: Autonomous ships have the potential to increase operational efficiency and reduce carbon footprints through technology and innovation. However, there is no …
V Mehta, M Agarwal, RK Kaliyar - … Journal of Data Science and Analytics, 2024 - Springer
Document clustering involves grouping together documents so that similar documents are grouped together in the same cluster and different documents in the different clusters …
Q Lv, N Yang, A Slowik, J Lv, A Yousefpour - Computers and Electrical …, 2023 - Elsevier
Abstract The construction of Smart Cities is inseparable from the healthy operation of markets. Reasonable data analysis can provide a crucial foundation for the development of …
Text clustering is a method for separating specific information from textual data and can even classify text according to topic and sentiment, which has drawn much interest in recent …
In this paper, a new theory to train neural networks is presented which is called “Neural Network Meaningful Learning”(NNMeL) theory. According to this theory, meaningful learning …
Language models have been shown to reproduce underlying biases existing in their training data, which is the majority perspective by default. Proposed solutions aim to capture minority …
Abstract Model optimization in deep learning (DL) and neural networks is concerned about how and why the model can be successfully trained towards one or more objective …