Sentiment analysis is an emerging trend nowadays to understand people's sentiments in
multiple situations in their quotidian life. Social media data would be utilized for the entire …

The penetration of wearable devices in our daily lives is unstoppable. Although they are very
popular, so far, these elements provide a limited range of services that are mostly focused …

This study presents a computationally efficient deep learning model for binary sentiment
classification, which aims to decide the sentiment polarity of people's opinions, attitudes, and …

Convolution and recurrent neural network have obtained remarkable performance in natural
language processing (NLP). Moreover, from the attention mechanism perspective …

Sentiment Analysis is an important research direction of natural language processing, and it
is widely used in politics, news and other fields. Word embeddings play a significant role in …

The Rasa open-source toolkit provides a valuable Natural Language Understanding (NLU)
infrastructure to assist the development of conversational agents. In this paper, we show that …

Sentiment analysis is one of the most challenging tasks in natural language processing
(NLP). The extensively used application of sentiment analysis is sentiment classification of …

In aquaculture, accurate detection of fish feeding intensity is a critical step for establishing an
on-demand feeding system. In this paper, a novel fish feeding intensity detection method …

As an important part of electronic warfare, radar countermeasure determines the trend of war
to a large extent. Modern radar jamming technology, especially deception jamming …

The automatic generation of features without human intervention is the most critical task for
biomedical sentiment analysis. Regarding the high dynamicity of shared patient narrative …