This project is a Financial Text Sentiment Analyzer built in Python, combining traditional ML models (TF-IDF + Logistic Regression, SVM, Naive Bayes) with state-of-the-art NLP (FinBERT). It also ...

Sentiment analysis of social media data has emerged as a crucial tool for understanding people's online opinions and sentiments. This study investigates how to analyze the sentiments conveyed in ...

Macroeconomic factors, investor sentiment, and market trends have a role to play in predicting stock prices, as evident in the financial markets. There is complexity, and challenges remain on how to ...

📌 Project Overview This project analyzes prosodic features from corporate earnings call audio recordings to uncover patterns in vocal tone, pitch, intensity, speech rate, and hesitations. The goal is ...