Apr 28, 2025 · This comprehensive survey has charted the development of sentiment analysis from foundational machine learning techniques to the cutting edge of deep learning, highlighting a …

Jun 5, 2025 · In short, this special issue examines the intersection of nlp, semantic networks, and sentiment analysis, exploring how these technologies can contribute to more intelligent systems.

Nov 26, 2024 · Future advancements in Natural Language Processing Solutions could include more sophisticated sentiment analysis models that better understand context, sarcasm, and cultural nuances.

This systematic literature review investigates the advancements, methodologies, challenges, and application domains of sentiment analysis with a particular focus on informal digital text such as …

Nov 14, 2023 · onal sentiment analysis, focusing on predicting positive or negative sentiment in text alone. By incorporating visual analysis and natural language process-ing, multimodal sentiment...

May 24, 2023 · Additionally, researchers rely on SA to analyze public sentiment on various topics. In this particular research study, a comprehensive survey was conducted to explore the latest trends and …

Social media platforms have become crucial sources of real-time information during crises and emergencies. This research explores the application of Natural Language Processing (NLP) …

Sentiment analysis is a rapidly evolving field in NLP that aims to understand and interpret human emotions, attitudes, and opinions expressed in text. This paper provides a comprehensive overview …

inions on politics from social media posts using a Natural Language Processing (NLP) algorithm. The purpose here is to discover the patterns, trends, and sentiments that w.

These findings contributed to enhancing decision-making in marketing, politics, and public opinion research, pointing towards future directions in hybrid NLP models for improved sentiment analysis …