Sentiment analysis (SA), also called Opinion Mining (OM) is the task of extracting and
analyzing people's opinions, sentiments, attitudes, perceptions, etc., toward different entities …

Sentiment analysis is a task of natural language processing that has recently attracted
increasing attention. However, sentiment analysis research has mainly been carried out for …

In recent years, with the rapid development of Internet technology, online shop** has
become a mainstream way for users to purchase and consume. Sentiment analysis of a …

In humans, Attention is a core property of all perceptual and cognitive operations. Given our
limited ability to process competing sources, attention mechanisms select, modulate, and …

Recently, sentiment analysis has seen remarkable advance with the help of pre-training
approaches. However, sentiment knowledge, such as sentiment words and aspect …

This paper deals with the aspect-level sentiment classification which identifies the sentiment
polarity of a specific aspect of its context. We introduce novel attention networks by using the …

Neural network models have recently been applied to the task of automatic essay scoring,
giving promising results. Existing work used recurrent neural networks and convolutional …

Deep neural networks have shown good data modelling capabilities when dealing with
challenging and large datasets from a wide range of application areas. Convolutional …

Sentiment analysis (SA), also known as opinion mining, is a growing important research
area. Generally, it helps to automatically determine if a text expresses a positive, negative or …

Long short-term memory networks (LSTM) and classical convolutional neural networks
(CNN) are two critical methods for the task of targeted sentiment analysis, but LSTM are …