The study of public opinion can provide us with valuable information. The analysis of
sentiment on social networks, such as Twitter or Facebook, has become a powerful means …

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 …

Neural network models have been widely used in the field of natural language processing
(NLP). Recurrent neural networks (RNNs), which have the ability to process sequences of …

Deep learning (DL) has recently aroused substantial concern due to its successful
implementations in many fields. Currently, there are few studies on the applications of DL in …

Long short-term memory (LSTM) neural networks and attention mechanism have been
widely used in sentiment representation learning and detection of texts. However, most of …

A massive use of social media platforms such as Twitter and Facebook by omnifarious
organizations has increased the critical individual feedback on the situation, events …

Flood of information is produced in a daily basis through the global internet usage arising
from the online interactive communications among users. While this situation contributes …

Automatic modulation classification (AMC) is becoming increasingly important in spectrum
monitoring and cognitive radio. However, most existing modulation classification algorithms …

Marketing scholars are interested in the big data of user-generated content (UGC) from
social media platforms. However, the majority of current UGC studies have been conducted …

Aspect-based sentiment analysis (ABSA) task is a fine-grained task of natural language
processing and consists of two subtasks: aspect term extraction (ATE) and aspect polarity …