Consumer sentiment analysis is a recent fad for social media-related applications such as
healthcare, crime, finance, travel, and in academia. Disentangling consumer perception to …

Recently, ransomware attacks have been among the major threats that target a wide range
of Internet and mobile users throughout the world, especially critical cyber physical systems …

Sentiment analysis has been a well-studied research direction in computational linguistics.
Deep neural network models, including convolutional neural networks (CNN) and recurrent …

Heart failure is a chronic cardiac condition characterized by reduced supply of blood to the
body due to impaired contractile properties of the muscles of the heart. Like any other …

Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

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 …

Typically performed by supervised machine learning algorithms, sentiment analysis is highly
useful for extracting subjective information from text documents online. Most approaches that …

Sentiment analysis is a critical task of extracting subjective information from online text
documents. Ensemble learning can be employed to obtain more robust classification …

Text genre classification is the process of identifying functional characteristics of text
documents. The immense quantity of text documents available on the web can be properly …

With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …