This study addresses the growing demand for news text classification driven by the rapid expansion of internet information by proposing a classification algorithm based on a Bidirectional Gated ...

Python is a popular programming language extensively used in various applications including Natural Language Processing (NLP). Sentiment analysis, a frequent NLP task, aids in understanding the ...

Social sentiment analysis is used to study these processes. It assesses how people and society react to events related to securities. In the current reality, where a viral tweet can trigger a ...

That conventional wisdom held true for many years. But since Covid struck in 2020, the relationship has reversed: When consumer sentiment has been high, stock returns generally have been low ...

WTI oil spiked to new low on Wednesday ($56.70, the lowest since January 2021), as deteriorating global economic outlook continues to deflate oil prices. The latest package of US import tariffs on ...

This project walks you on how to create a twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of the people towards various topics. For ...

Technology should make our lives easier, not harder. Yet, many businesses struggle with IT workflows that are slow and chaotic. Repeated errors, miscommunication, and wasted time can drain resources ...

In this study, we want to introduce a novel approach to sentiment analysis by integrating Graph Neural Networks (GNNs), specifically Graph Attention Networks (GAT), with traditional Natural Language ...