Social media platforms allow users to share thoughts, experiences, and beliefs. These
platforms represent a rich resource for natural language processing techniques to make …

Text summarization tasks are primarily very useful for decision support systems and provide
a source for useful data for training of bots as they can reduce and retain the useful …

With the increasing prevalence of unstructured online data generated (eg, social media,
online forums), mining them is important since they provide a genuine viewpoint of the …

Online social networking services like Twitter are frequently used for discussions on
numerous topics of interest, which range from mainstream and popular topics (eg, music and …

A necessary document that encompasses clinical and administrative information
indispensable for the continuity of care subsequent to the patients being discharged as of …

Electronic health records (EHRs) contain structured and unstructured data of significant
clinical and research value. Various machine learning approaches have been developed to …

With the exponential growth in the daily publication of scientific articles, automatic
classification and categorization can assist in assigning articles to a predefined category …

The online question answering (QA) community has been popular in recent years. In this
paper, we focus on the online health question answering (HQA) community. The HQA …

Understanding the real-world short texts become an essential task in the recent research
area. The document deduction analysis and latent coherent topic named as the important …

Technology and computation have changed the backdrop of various aspects of our fast-
paced lives. Healthcare is one such aspect that has been affected by this change and faces …