[HTML][HTML] Harnessing prompt-based large language models for disaster monitoring and automated reporting from social media feedback
In recent years, social media has emerged as one of the main platforms for real-time
reporting of issues during disasters and catastrophic events. While great strides have been …
reporting of issues during disasters and catastrophic events. While great strides have been …
Fusion of technical indicators and sentiment analysis in a hybrid framework of deep learning models for stock price movement prediction
Stock price movement prediction is challenging due to unpredictable fluctuations and the
significant impact of market sentiment and news. Accurate prediction models can enhance …
significant impact of market sentiment and news. Accurate prediction models can enhance …
Exploiting Large Language Models for Enhanced Review Classification Explanations Through Interpretable and Multidimensional Analysis
In today's digital world, user-generated reviews play a pivotal role across diverse industries,
providing invaluable insights into consumer experiences, preferences, and concerns. These …
providing invaluable insights into consumer experiences, preferences, and concerns. These …