Multimodal sentiment analysis: a survey of methods, trends, and challenges
Sentiment analysis has come long way since it was introduced as a natural language
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying …
Sentiment analysis using deep learning architectures: a review
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 …
in the form of opinions and views about any topic or article, which results in an enormous …
A hybrid model integrating deep learning with investor sentiment analysis for stock price prediction
N **g, Z Wu, H Wang - Expert Systems with Applications, 2021 - Elsevier
Whether stock prices are predictable has been the center of debate in academia. In this
paper, we propose a hybrid model that combines a deep learning approach with a sentiment …
paper, we propose a hybrid model that combines a deep learning approach with a sentiment …
CNN-RNN based intelligent recommendation for online medical pre-diagnosis support
The rapidly developed Health 2.0 technology has provided people with more opportunities
to conduct online medical consultation than ever before. Understanding contexts within …
to conduct online medical consultation than ever before. Understanding contexts within …
Performance versus complexity study of neural network equalizers in coherent optical systems
We present the results of the comparative performance-versus-complexity analysis for the
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
several types of artificial neural networks (NNs) used for nonlinear channel equalization in …
A hybrid CNN-LSTM model for improving accuracy of movie reviews sentiment analysis
Nowadays, social media has become a tremendous source of acquiring user's opinions.
With the advancement of technology and sophistication of the internet, a huge amount of …
With the advancement of technology and sophistication of the internet, a huge amount of …
Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks
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 …
opened a venue for online users to express and share their opinions in different life aspects …
Fake news detection using bi-directional LSTM-recurrent neural network
Media plays a vital role in the public dissemination of information about events. The rapid
development of the Internet allows a quick spread of information through social networks or …
development of the Internet allows a quick spread of information through social networks or …
A deep learning approach for sentiment analysis of COVID-19 reviews
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 …
become more popular on social media sites as a means for people to share their ideas and …
Multimodal sentimental analysis for social media applications: A comprehensive review
The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …
source material that is, a product or service. The analysis of these sentiments finds a variety …