The rapid growth of Internet-based applications, such as social media platforms and blogs,
has resulted in comments and reviews concerning day-to-day activities. Sentiment analysis …

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 …

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 …

The increasing volume of user-generated content on the web has made sentiment analysis
an important tool for the extraction of information about the human emotional state. A current …

With the constantly growing number of reviews and other sentiment-bearing texts on the
Web, the demand for automatic sentiment analysis algorithms continues to expand. Aspect …

In current technological era, surveillance systems generate an enormous volume of video
data on a daily basis, making its analysis a difficult task for computer vision experts …

Text classification or categorization is the process of automatically tagging a textual
document with most relevant labels or categories. When the number of labels is restricted to …

Performing dimensionality reduction in the camera captured images without any loss is
remaining as a big challenge in image processing domain. Generally, camera surveillance …

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 …

With the advancement of technology, social media has become a major source of digital
news due to its global exposure. This has led to an increase in spreading fake news and …