Big data is a potential research area receiving considerable attention from academia and IT
communities. In the digital world, the amounts of data generated and stored have expanded …

Artificial intelligence (AI) relies on data and algorithms. State-of-the-art (SOTA) AI smart
algorithms have been developed to improve the performance of AI-oriented structures …

Text mining has become one of the trendy fields that has been incorporated in several
research fields such as computational linguistics, Information Retrieval (IR) and data mining …

Recent advances in computer and technology resulted into ever increasing set of
documents. The need is to classify the set of documents according to the type. Laying …

Query expansion (QE) is a well-known technique used to enhance the effectiveness of
information retrieval. QE reformulates the initial query by adding similar terms that help in …

Social media websites allow users to communicate with each other through several tools
like chats, discussion forums, comments etc. This results in learning and sharing of important …

This study identifies and recommends key cues in brand community and public behavioral
data. It proposes a research framework to strengthen social monitoring and data analysis, as …

Big Data has gained an enormous momentum the past few years because of the
tremendous volume of generated and processed Data from diverse application domains …

The main purpose of this study was to investigate keywords related to medical tourism in
daily and medical newspapers and to analyze networks between keywords. We collected …

Twitter is a microblogging platform, where millions of users daily share their attitudes, views,
and opinions. Using a probabilistic Latent Dirichlet Allocation (LDA) topic model to discern …