A survey of ensemble learning: Concepts, algorithms, applications, and prospects
Ensemble learning techniques have achieved state-of-the-art performance in diverse
machine learning applications by combining the predictions from two or more base models …
machine learning applications by combining the predictions from two or more base models …
The power of talk: Exploring the effects of streamers' linguistic styles on sales performance in B2B livestreaming commerce
B2B livestreaming has become increasingly popular, but few studies have investigated the
role of streamers in these B2B livestreaming events. In contrast to the existing studies that …
role of streamers in these B2B livestreaming events. In contrast to the existing studies that …
[HTML][HTML] Prediction of the customers' interests using sentiment analysis in e-commerce data for comparison of Arabic, English, and Turkish languages
In the business world, large companies that can achieve continuity in innovation gain a
significant competitive advantage. The sensitivity of these companies to follow and monitor …
significant competitive advantage. The sensitivity of these companies to follow and monitor …
Natural language processing using graph neural network for text classification
The boom of the technological area has given rise to numerous new applications that
actually rule the entire world. Some of them mainly are the social media networks like the …
actually rule the entire world. Some of them mainly are the social media networks like the …
Analyzing sentiments regarding ChatGPT using novel BERT: A machine learning approach
Chatbots are AI-powered programs designed to replicate human conversation. They are
capable of performing a wide range of tasks, including answering questions, offering …
capable of performing a wide range of tasks, including answering questions, offering …
An efficient smart data mining framework based cloud internet of things for developing artificial intelligence of marketing information analysis
Y Liu, IR Alzahrani, RA Jaleel, S Al Sulaie - Information Processing & …, 2023 - Elsevier
Because of the big volume of marketing data, a human analyst would be unable to uncover
any useful information for marketing that could aid in the process of making decision. Smart …
any useful information for marketing that could aid in the process of making decision. Smart …
A deep interpretable representation learning method for speech emotion recognition
This paper focuses on the active interpretability for deep learning-based speech emotion
recognition (SER). To achieve this, we propose an explicit feature constrained model, the …
recognition (SER). To achieve this, we propose an explicit feature constrained model, the …
[HTML][HTML] A comparative evaluation of biomedical similar article recommendation
Background Biomedical sciences, with their focus on human health and disease, have
attracted unprecedented attention in the 21st century. The proliferation of biomedical …
attracted unprecedented attention in the 21st century. The proliferation of biomedical …
Legal case document similarity: You need both network and text
Estimating the similarity between two legal case documents is an important and challenging
problem, having various downstream applications such as prior-case retrieval and citation …
problem, having various downstream applications such as prior-case retrieval and citation …
From live streamer to viewer: exploring travel live streamer persuasive linguistic styles and their impacts on travel intentions
Travel live streaming's growing popularity among viewers provides unprecedented
opportunities for live streamers. This study explores the persuasive linguistic styles of travel …
opportunities for live streamers. This study explores the persuasive linguistic styles of travel …