[HTML][HTML] Deep learning-based natural language processing in human-agent interaction: Applications, advancements and challenges

N Ahmed, AK Saha, MA Al Noman, JR Jim… - Natural Language …, 2024 - Elsevier
Abstract Human-Agent Interaction is at the forefront of rapid development, with integrating
deep learning techniques into natural language processing representing significant …

Finans Alanında Makine ve Derin Öğrenmenin Kullanılması: Lisansüstü Tezlerde Sistematik Literatür Taraması

İF Ceyhan - İnsan ve Toplum Bilimleri Araştırmaları Dergisi, 2023 - dergipark.org.tr
İnsanoğlu makinelerin insanlar gibi düşünebildiği ve hareket edebildiği bir çağın
başlangıcında bulunuyor. Bu durum her ne kadar ürkütücü görünse de, akademide ilgi …

Information in Central Bank Sentiment: An Analysis of Fed and ECB Communication

J Hilscher, K Nabors, A Raviv - Available at SSRN 4797935, 2024 - papers.ssrn.com
This paper uses modern data analysis tools to measure sentiment overtime of published
Central Bank communications. We employ natural language processing and FinBERT …

FOMC Statements: LLMs vs Traditional Methods for Inflation Sentiment Extraction

TQ Nguyen, A Baumann - 2024 - biopen.bi.no
This thesis evaluates the effectiveness of different Natural Language Processing (NLP)
sentiment models in predicting the inflation expectations of economic agents based on the …

Exploring Public Sentiment on Central Bank of Nigeria Currency Redesign Policy Through Sentiment Analysis

KA Oladapo, RS Akinbo - 2024 IEEE SmartBlock4Africa, 2024 - ieeexplore.ieee.org
The identification and measurement of an online audience through the social media platform
capitalise on the tonality of emotions on the social media presence. On October 20, the most …

The Language of Central Banking: Probing Global Monetary Policy Communications Spillovers and Central Bank Shocks with Natural Language Processing Tools …

CD Baird - 2024 - search.proquest.com
The discipline of macroeconomics relies mainly on structured data for empirical research,
despite unstructured text data being vastly more abundant. This text data, particularly central …

Information in Central Bank Sentiment: An Analysis of Fed and ECB Communication

K Nabors - 2024 - search.proquest.com
This paper uses modern data analysis tools to measure sentiment overtime of published
Central Bank communications. We employ natural language processing and FinBERT …

[PDF][PDF] Natural Language Processing Journal

N Ahmed, AK Saha, MA Al Noman, JR Jim, MF Mridha… - researchgate.net
ABSTRACT Human–Agent Interaction is at the forefront of rapid development, with
integrating deep learning techniques into natural language processing representing …