Over the past few years, the number and volume of data sources in healthcare databases
has grown exponentially. Analyzing these voluminous medical data is both opportunity and …

In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …

Wearable sensors and social networking platforms play a key role in providing a new
method to collect patient data for efficient healthcare monitoring. However, continuous …

From the last decade, pharmaceutical companies are facing difficulties in tracking their
products during the supply chain process, allowing the counterfeiters to add their fake …

Clustering is central to many data-driven bioinformatics research and serves a powerful
computational method. In particular, clustering helps at analyzing unstructured and high …

The amount of digital text-based consumer review data has increased dramatically and
there exist many machine learning approaches for automated text-based sentiment analysis …

Since the turn of the century, as millions of user's opinions are available on the web,
sentiment analysis has become one of the most fruitful research fields in Natural Language …

Nowadays, the development of new computer-based technologies has led to rapid increase
in the volume of user-generated textual content on the website. Patient-written medical and …

Given strong influences of online customer reviews on consumer purchase decisions,
identifying helpful reviews has received broad attention from practitioners and researchers …

Feature selection (FS) is one of the basic data preprocessing steps in data mining and
machine learning. It is used to reduce feature size and increase model generalization. In …