Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding
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 …
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
Financial technology (Fintech) plays a pivotal role in driving contemporary technology,
society, economies, and many other fields. The new-generation Fintech is Smart Fintech …
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 …
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 …
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
Abstract Sentiment Analysis (SA) employing Natural Language Processing (NLP) is pivotal
in determining the positivity and negativity of customer feedback. Although significant …
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 …
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 …
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.
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 …
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 …
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
Depression is a mental state characterized by recurrent feelings of melancholy,
hopelessness, and disinterest in activities, having a significant negative influence on …
hopelessness, and disinterest in activities, having a significant negative influence on …