The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

This paper presents a semantically rich document representation model for automatically
classifying financial documents into predefined categories utilizing deep learning. The …

The use of background knowledge is largely unexploited in text classification tasks. This
paper explores word taxonomies as means for constructing new semantic features, which …

Social media is a widely used platform that provides a huge amount of user-generated
content that can be processed to extract information about users' emotions. This has …

The overwhelming increase of parcel transports has prompted the need for effective and
scalable intelligent logistics systems. In parallel, with the advent of Industry 4.0, a tight …

Personally identifiable information (PII) affects individual privacy because PII combinations
may yield unique identifications in published data. User PII such as age, race, gender, and …

Deep neural networks are becoming ubiquitous in text mining and natural language
processing, but semantic resources, such as taxonomies and ontologies, are yet to be fully …

To create a classifier using an associative classification algorithm, a complete set of class
association rules (CARs) is obtained from the training dataset. Most generated rules …

Mining class association rules (CARs) with the itemset constraint is concerned with the
discovery of rules, which contain a set of specific items in the rule antecedent and a class …

Given the current social distance restrictions across the world, most individuals now use
social media as their major medium of communication. Due to this, millions of people …