One of the most common applications of deep learning algorithms is sentiment analysis.
This study delivers a better performing and efficient automated feature extraction technique …

This paper presents a detailed review of deep learning techniques used in Sentiment
Analysis. Sentiment analysis is one of the most researched areas in natural language …

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 …

Sentiment analysis is the computational examination of end user's opinion, attitudes and
emotions towards a particular topic or product. Sentiment analysis classifies the message …

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 …

Deep learning has emerged as a powerful machine learning technique that learns multiple
layers of representations or features of the data and produces state‐of‐the‐art prediction …

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 …

Deep learning techniques for Sentiment Analysis have become very popular. They provide
automatic feature extraction and both richer representation capabilities and better …

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 …

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 …