[HTML][HTML] A recent overview of the state-of-the-art elements of text classification

MM Mirończuk, J Protasiewicz - Expert Systems with Applications, 2018‏ - Elsevier
The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

A survey of emotion recognition methods with emphasis on E-Learning environments

M Imani, GA Montazer - Journal of network and computer applications, 2019‏ - Elsevier
Emotions play an important role in the learning process. Considering the learner's emotions
is essential for electronic learning (e-learning) systems. Some researchers have proposed …

Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks

AH Ombabi, W Ouarda, AM Alimi - Social Network Analysis and Mining, 2020‏ - Springer
Recently, the world has witnessed an exponential growth of social networks which have
opened a venue for online users to express and share their opinions in different life aspects …

A deep learning approach for sentiment analysis of COVID-19 reviews

C Singh, T Imam, S Wibowo, S Grandhi - Applied Sciences, 2022‏ - mdpi.com
User-generated multi-media content, such as images, text, videos, and speech, has recently
become more popular on social media sites as a means for people to share their ideas and …

Using long short-term memory deep neural networks for aspect-based sentiment analysis of Arabic reviews

M Al-Smadi, B Talafha, M Al-Ayyoub… - International Journal of …, 2019‏ - Springer
This paper proposes a state-of-the-art research for aspect-based sentiment analysis of
Arabic Hotels' reviews using two implementations of long short-term memory (LSTM) neural …

Web page classification: a survey of perspectives, gaps, and future directions

M Hashemi - Multimedia Tools and Applications, 2020‏ - Springer
The explosive growth of the amount of information on Internet has made Web page
classification essential for Web information management, retrieval, and integration, Web …

Understanding the evolutions of public responses using social media: Hurricane Matthew case study

F Yuan, M Li, R Liu - International journal of disaster risk reduction, 2020‏ - Elsevier
Understanding timely evolutions of public responses during disasters can help crisis
response managers design and implement response strategies. Recent studies mainly …

A structural topic modeling-based bibliometric study of sentiment analysis literature

X Chen, H **e - Cognitive Computation, 2020‏ - Springer
Sentiment analysis is an increasingly evolving field of research in computer science. With
the considerable number of studies on innovative sentiment analysis available, it is worth …

Topics and trends in artificial intelligence assisted human brain research

X Chen, J Chen, G Cheng, T Gong - PloS one, 2020‏ - journals.plos.org
Artificial intelligence (AI) assisted human brain research is a dynamic interdisciplinary field
with great interest, rich literature, and huge diversity. The diversity in research topics and …

CredSaT: Credibility ranking of users in big social data incorporating semantic analysis and temporal factor

B Abu-Salih, P Wongthongtham… - Journal of …, 2019‏ - journals.sagepub.com
The widespread use of big social data has influenced the research community in several
significant ways. In particular, the notion of social trust has attracted a great deal of attention …