Financial sentiment analysis is critical for valuation and investment decision-making.
Traditional NLP models, however, are limited by their parameter size and the scope of their …

Online social networking services such as Twitter and Instagram have become pervasive
platforms for engaging in discussions on a wide array of topics. These platforms cater to both …

Document similarity is an important concept for many research questions. It can be applied
to trace information exchanged on the capital market. For similarity calculations, the …

This paper gives a review of the main problems and methods of automatic text classification.
It focuses on problems such as the choice of source linguistic material, neutralization of …

Capturing the similarities between human language units is crucial for explaining how
humans associate different objects, and therefore its computation has received extensive …

This paper introduces LongFinBERT, a modern language model specialized for very long
financial documents. LongFinBERT shows remarkable efficiency, requiring significantly less …

Abstract In finance, Natural Language Processing (NLP) has become both a powerful and
challenging tool, as extensive unstructured documents—such as business plans, financial …

The concept of “near-form words” has existed since the ancient English period (about 450
years ago), yet few mathematical identification algorithms have been applied to these. With …

The relationship between management and investors is often characterized by information
asymmetries. Typical problems that arise due to information asymmetries are moral hazard …

Характерная особенность нашего времени–повсеместное использование технологий
обработки естественного языка, которые являются частью глобального процесса …