SENTIMENT ANALYSIS OF ANIMATED ONLINE EDUCATION TEXTS USING LONG SHORT-TERM MEMORY NETWORKS IN THE CONTEXT OF THE INTERNET OF THINGS

Sentiment Analysis of Animated Online Education Texts Using Long Short-Term Memory Networks in the Context of the Internet of Things

This work aims to introduce Long Short-Term Memory (LSTM) under the Internet of Things (IoT) context to enhance the accuracy and granularity of sentiment analysis in animated online education texts.It employs a multimodal data collection approach and uses IoT technology to gather multimodal textual data from students engaged in animated online educ

read more


Target trial framework for determining the effect of changes in training load on injury risk using observational data: a methodological commentary

In recent years, a large focus has been placed on managing training load for injury prevention.To minimise injuries, training recommendations should be based on research that examines causal relationships between load and injury risk.While observational studies can be mike and ike italian ice used to estimate causal effects, conventional methods to

read more