This paper introduces a classification framework to analyze central bank communications across four dimensions: topic, communication stance, sentiment, and audience. Using a fine-tuned large language ...

Sentiment analysis is a significant task in Natural Language Processing. It refers to classification based on the emotional tendency in text by extracting text features. The existing results show that ...

Explore crypto market sentiment analysis tools to enhance your trading strategy and navigate market emotions effectively.

How Social Sentiment Analysis Helps In Stock Price Prediction Investors and traders need to react quickly to events that may prompt stockholders to buy or sell.

Deep Learning Model + Sentiment Model Here we want to answer this question: can the sentiment model's probability output (of next day's return being positive) further improve the deep learning model ...

IMDB Movie Review Sentiment Analysis with Simple RNN This project implements a Sentiment Analysis model using a Simple Recurrent Neural Network (RNN) to classify IMDB movie reviews as either positive ...