Humans are increasingly integrated with devices that enable the collection of vast
unstructured opinionated data. Accurately analysing subjective information from this data is …

Sentiment analysis is a fundamental branch of natural language processing. It is an
essential task of identifying and extracting sentiment in opinionated data from sources such …

The goal of cross-domain sentiment classification is to utilise useful information in the source
domain to help classify sentiment polarity in the target domain, which has a large number of …

For the traditional model based on the deep learning method most used CNN (convolutional
neural networks) or RNN (Recurrent neural Network) model and is based on the dynamic …

The analysis of electroencephalogram (EEG) signal plays a crucial role in epileptic seizure
detection. Researchers have proposed many machine learning and deep learning based …

Sentiment analysis is an important topic concerning identification of feelings, attitudes,
emotions and opinions from text. To automate such analysis, a large amount of example text …

Cross-domain emotion classification aims to leverage useful information in a source domain
to help predict emotion polarity in a target domain in a unsupervised or semi-supervised …

Intelligent Connected Vehicles (ICVs) can provide smart, safe, and efficient transportation
services and have attracted intensive attention recently. Obtaining timely and accurate traffic …

Cross‐domain text sentiment analysis is a text sentiment classification task that uses the
existing source domain annotation data to assist the target domain, which can not only …

Social media is a real-time social sensor to sense and collect diverse information, which can
be combined with sentiment analysis to help IoT sensors provide user-demanded favorable …