In today's digital age, the proliferation of online transactions, e-commerce, and digital
banking has created new opportunities for fraudsters to exploit vulnerabilities in financial …

Purpose This study aims to investigate the moderating role of natural language processing
natural language processing (NLP) on the relationship between AI-empowered AIS (data …

Frauds accounted for significant losses in the financial sector and emerged as the industry's
biggest challenge. Companies invest significant amounts to prevent such fraud. It has been …

Text classification plays an important role in many practical applications. In the real world,
there are extremely small datasets. Most existing methods adopt pretrained neural network …

This survey presents an in-depth review of the transformative role of Natural Language
Processing (NLP) in finance, highlighting its impact on ten major financial applications:(1) …

The utilization of text classification techniques has demonstrated great promise in the field of
detecting consumer fraud based on consumer reviews. However, persistent challenges …

In the dynamic restaurant industry, we introduce" Genie," an AI-powered chatbot, represents
an advancement in customer service efficiency through technological innovation. Designed …

The banking world is moving faster with digital reality, where financial transactions, customer
care, fraud prevention, and trading analysis are no longer handled by humans but by …

Corporations produce financial and non-financial reports containing structured and
unstructured data. In general, all organisations report information of some kind. Natural …

In the wake of disasters, timely access to accurate information about on-the-ground situation
is crucial for effective disaster response. In this regard, social media (SM) like Twitter have …