Sentiment analysis using deep learning architectures: a review
A Yadav, DK Vishwakarma - Artificial Intelligence Review, 2020 - Springer
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 …
Sentiment analysis with deep neural networks: comparative study and performance assessment
R Wadawadagi, V Pagi - Artificial Intelligence Review, 2020 - Springer
The current decade has witnessed the remarkable developments in the field of artificial
intelligence, and the revolution of deep learning has transformed the whole artificial …
intelligence, and the revolution of deep learning has transformed the whole artificial …
Deep learning for sentiment analysis: successful approaches and future challenges
Sentiment analysis (also known as opinion mining) is an active research area in natural
language processing. It aims at identifying, extracting and organizing sentiments from user …
language processing. It aims at identifying, extracting and organizing sentiments from user …
[PDF][PDF] Sentiment analysis using deep learning techniques: a review
QT Ain, M Ali, A Riaz, A Noureen, M Kamran… - International Journal of …, 2017 - academia.edu
The World Wide Web such as social networks, forums, review sites and blogs generate
enormous heaps of data in the form of users views, emotions, opinions and arguments about …
enormous heaps of data in the form of users views, emotions, opinions and arguments about …
Sentiment analysis using deep learning approaches: an overview
Nowadays, with the increasing number of Web 2.0 tools, users generate huge amounts of
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
data in an enormous and dynamic way. In this regard, the sentiment analysis appeared to be …
Deep learning for sentiment analysis: A survey
Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces stateoftheart prediction …
layers of representations or features of the data and produces stateoftheart prediction …
Examining attention mechanisms in deep learning models for sentiment analysis
Attention-based methods for deep neural networks constitute a technique that has attracted
increased interest in recent years. Attention mechanisms can focus on important parts of a …
increased interest in recent years. Attention mechanisms can focus on important parts of a …
Improving sentiment analysis for social media applications using an ensemble deep learning language model
A Alsayat - Arabian Journal for Science and Engineering, 2022 - Springer
As data grow rapidly on social media by users' contributions, specially with the recent
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …
coronavirus pandemic, the need to acquire knowledge of their behaviors is in high demand …
A robust sentiment analysis method based on sequential combination of convolutional and recursive neural networks
With explosive development of the World Wide Web, an enormous amount of text
information containing users' feeling, emotions and opinions has been generated and is …
information containing users' feeling, emotions and opinions has been generated and is …
[图书][B] Deep learning-based approaches for sentiment analysis
With the exponential growth in the use of social media networks such as Twitter, Facebook,
Flickr, and many others, an astronomical amount of big data has been generated. This data …
Flickr, and many others, an astronomical amount of big data has been generated. This data …