Deep neural networks (DNNs) have evolved as a beneficial machine learning method that
has been successfully used in various applications. Currently, DNN is a superior technique …

Sentiment analysis has become an important area of research in natural language
processing. This technique has a wide range of applications, such as comprehending user …

As of November 2021, more than 24.80 crore people are diagnosed with the coronavirus in
that around 50.20 lakhs people lost their lives, because of this infectious disease. By …

Huge amounts of multimodal content and comments in a mixture form of text, image, and
emoji are continuously shared by users on various social networks. Most of the comments of …

Social media networks have become a significant aspect of people's lives, serving as a
platform for their ideas, opinions and emotions. Consequently, automated sentiment …

Construction equipment security information management (CESIM) is a critical component of
equipment security management. However, equipment-related information's authenticity and …

Nowadays, we are witnessing a paradigm shift from the conventional approach of working
from office spaces to the emerging culture of working virtually from home. Even during the …

The word embedding model word2vec tends to ignore the importance of a single word to the
entire document, which affects the accuracy of the news text classification method. To …

The process of detecting sentiments of particular context from human speech emotions is
naturally in-built for humans unlike computers, where it is not possible to process human …

Electrocardiogram (ECG) is the primary basis for the diagnosis of cardiovascular diseases.
However, the amount of ECG data of patients makes manual interpretation time-consuming …