Natural language processing (NLP) tools have sparked a great deal of interest due to rapid
improvements in information and communications technologies. As a result, many different …

Research efforts in the field of sentiment analysis have exponentially increased in the last
few years due to its applicability in areas such as online product purchasing, marketing, and …

Educational technology plays an increasingly significant role in supporting Self-Regulated
Learning (SRL), while the importance of Adaptive Learning Technology (ALT) grows due to …

Sažetak Language model pre-training architectures have demonstrated to be useful to learn
language representations. bidirectional encoder representations from transformers (BERT) …

Nowadays, many frauds and issues are happening due to credit card and online payment
transactions, which results, mistrust of people on government systems. Such issues could …

Part of Speech (POS) tagging has a preliminary role in building natural language processing
applications. This paper presents the development and evaluation of the first POS tagged …

Abstract Named Entity Recognition (NER) is an imperative Natural Language Processing
(NLP) task which intents to identify and classify predefined named entities in a given span of …

In past, rule-based and statistical machine translation techniques were employed to solve
Urdu transliteration techniques. As mentioned in the literature, Urdu is considered as low …

The recent rise of Artificial Intelligence (AI) has already revolutionized human lives and is
improving the quality of human life in many ways. The field of AI, Natural Language …

The textual risk disclosures in the annual financial reports, which discuss the companies'
potential risks in the future, are rarely considered in financial fraud detection. The purpose of …