Social media is a powerful source of communication among people to share their sentiments
in the form of opinions and views about any topic or article, which results in an enormous …

With the exponential growth of social media platforms and online communication, the
necessity of using automated sentiment analysis techniques has significantly increased …

Stance detection is an important task, which aims to classify the attitude of an opinionated
text towards a given target. Remarkable success has been achieved when sufficient labeled …

The deep learning methods based on syntactic dependency tree have achieved great
success on Aspect-based Sentiment Analysis (ABSA). However, the accuracy of the …

Aspect-based (aspect-level) sentiment analysis is an important task in fine-grained
sentiment analysis, which aims to automatically infer the sentiment towards an aspect in its …

Convolutional neural network (CNN) based deep representation learning methods for
speech emotion recognition (SER) have demonstrated great success. The basic design of …

Text classification has been attracting increasing attention with the growth of textual data
created on the Internet. Great progress has been made by deep neural networks for …

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 …

Recognizing the speaker's emotional state from speech signals plays a very crucial role in
human–computer interaction (HCI). Nowadays, numerous linguistic resources are available …

Due to the more robust characteristics compared to unimodal, audio-video multimodal
emotion recognition (MER) has attracted a lot of attention. The efficiency of representation …