The emergence of digital data and the methods used to analyze them are revolutionizing
marketing research. The vast quantity of data offers marketing researchers countless …

The unstructured data impacts 95% of the organizations and costs them millions of dollars
annually. If managed well, it can significantly improve business productivity. The traditional …

Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

With the emergence of social networks, opinion detection has become an active research
area with different applications and several opinionated resources such as product reviews …

The high variety in the forms of the Arabic words creates significant complexity related
challenges in Natural Language Processing (NLP) tasks for Arabic text. These challenges …

Multiple industries have been revolutionized by the incorporation of data science
advancements into intelligent environment technologies, specifically in the context of smart …

Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Document classification is one of the most critical steps in the document analysis pipeline.
There are two types of approaches for document classification, known as image-based and …

Improving the efficiency of operations is a major challenge in facility management given the
limitations of outsourcing individual building functions to third-party companies. The status of …

The daily transaction of an organization generates a vast amount of unstructured data such
as invoices and purchase orders. Managing and analyzing unstructured data is a costly …