Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …

Infodemiology is the process of mining unstructured and textual data so as to provide public
health officials and policymakers with valuable information regarding public health. The …

Despite recent advancements in speech emotion recognition (SER) models, state-of-the-art
deep learning (DL) approaches face the challenge of the limited availability of annotated …

Abstract The development of Social Media has caused an incredible change in the way
people communicate and share information. It provides a set of platforms, web-based …

Online customer review classification and analysis have been recognized as an important
problem in many domains, such as business intelligence, marketing, and e-governance. To …

Abstract Knowledge graph creation and maintenance is difficult for naïve users. One barrier
is the paucity of user friendly publishing tools that separate schema modeling from instance …

Named entity recognition (NER) is one of the preprocessing stages in natural language
processing (NLP), which functions to detect and classify entities in the corpus. NER results …

Data is one of the most valuable assets of an organization and has a tremendous impact on
its long-term success and decision-making processes. Typically, organizational data error …

With the development and application of Web Semantic, users are no longer satisfied with
basic metadata descriptions such as titles and link texts and string-matching search results …

The National Science Foundation's Arctic Data Center is the primary data repository for NSF-
funded research conducted in the Arctic. There are major challenges in discovering and …