Intrusion detection system (IDS) plays an important role in network security by discovering
and preventing malicious activities. Due to the complex and time-varying network …

E-commerce reviews are becoming more valued by both customers and companies. The
high demand for sentiment analysis is driven by businesses relying on it as a crucial tool to …

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 …

Accurate detection of traffic accidents as well as condition analysis are essential to
effectively restoring traffic flow and reducing serious injuries and fatalities. This goal can be …

The study investigates relative effectiveness of four sentiment analysis techniques:(1)
unsupervised lexicon-based model using SentiWordNet,(2) traditional supervised machine …

Complicated weather conditions lead to intermittent, random and volatility in photovoltaic
(PV) systems, which makes PV predictions difficult. A recurrent neural network (RNN) is …

Sentiment analysis, which refers to the task of detecting whether a textual item (eg, a product
review and a blog post) expresses a positive or negative opinion in general or about a given …

With the rapid growth of web content from social media, such studies as online opinion
mining or sentiment analysis of text have started receiving attention from government …

As one of the key components in mechanical systems, rotatory machine plays a significant
role in safe and stable operation. Accurate prediction of the Remaining Useful Life (RUL) of …

To exactly classify sentiments of microblog reviews with emojis in microblog social networks,
this paper first proposes an emoji vectorisation method to achieve emoji vectors. Then, an …