Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding

MR Ningsih, KAH Wibowo, AU Dullah… - Journal of Soft …, 2023 - shmpublisher.com
The issue of the Global Recession is hitting various countries, including Indonesia. Many
Indonesians have expressed their opinions on the issue of the global recession in 2023, one …

[HTML][HTML] Hybrid Hunter–Prey Optimization with Deep Learning-Based Fintech for Predicting Financial Crises in the Economy and Society

I Katib, FY Assiri, T Althaqafi, ZM AlKubaisy, D Hamed… - Electronics, 2023 - mdpi.com
Financial technology (Fintech) plays a pivotal role in driving contemporary technology,
society, economies, and many other fields. The new-generation Fintech is Smart Fintech …

Artificial Intelligence and Text Analysis in Evaluating Complex Social Phenomena: The Russia–Ukraine Conflict

FM Rinaldi, E Celardi, V Miracula… - Artificial Intelligence and …, 2025 - taylorfrancis.com
This chapter explores the value of artificial intelligence technologies in assessing complex
social phenomena, emphasizing methodological innovation and tool development for …

[HTML][HTML] Application of bidirectional LSTM deep learning technique for sentiment analysis of COVID-19 tweets: post-COVID vaccination era

ON Akande, MO Lawrence, P Ogedebe - Journal of Electrical Systems and …, 2023 - Springer
Background Social media platforms, especially Twitter, have turned out to be a major source
of data repositories. They have become a platform that citizens can use to voice their …

[HTML][HTML] An analysis of customer perception using lexicon-based sentiment analysis of Arabic Texts framework

O Alsemaree, AS Alam, SS Gill, S Uhlig - Heliyon, 2024 - cell.com
Abstract Sentiment Analysis (SA) employing Natural Language Processing (NLP) is pivotal
in determining the positivity and negativity of customer feedback. Although significant …

IDEAL: an inventive optimized deep ensemble augmented learning framework for opinion mining and sentiment analysis

A Mudigonda, UD Yalavarthi, P Satyanarayana… - Social Network Analysis …, 2024 - Springer
Sentiment analysis is a method used in machine learning to identify and examine the
sentiments that are concealed in text. Annotated data is a requirement for sentiment …

A Review on Sentiment Analysis of Twitter Data Using Machine Learning Techniques

M Khan, A Srivastava - International Journal of …, 2024 - ijemr.vandanapublications.com
Twitter, a microblogging network, has grown into an ongoing repository of real-time user-
generated data, providing a valuable dataset for sentiment analysis. It is an approach that …

[PDF][PDF] Enhancing Bankruptcy Prediction with White Shark Optimizer and Deep Learning: A Hybrid Approach for Accurate Financial Risk Assessment.

GA Chandok, V Rexy, HA Basha, H Selvi - International Journal of …, 2024 - inass.org
Bankruptcy prediction is the process of measuring the possibility of a company facing
bankruptcy or financial distress in the future. An accurate bankruptcy prediction model is …

[HTML][HTML] An aspect sentiment analysis model with Aspect Gated Convolution and Dual-Feature Filtering layers

H Gong, S Zhang - Journal of Big Data, 2024 - Springer
Aspect level sentiment analysis is a basic task to determine the sentiment bias based on the
contextual information near the aspect words. Some sentences contain many confusing …

[HTML][HTML] Decoding depression: Analyzing social network insights for depression severity assessment with transformers and explainable AI

T Ahmed, S Ivan, A Munir, S Ahmed - Natural Language Processing …, 2024 - Elsevier
Depression is a mental state characterized by recurrent feelings of melancholy,
hopelessness, and disinterest in activities, having a significant negative influence on …