Abstract: With the rise of social media, particularly Twitter, textual data containing users’ opinions on various topics has significantly increased. So sentiment analysis, which involves detecting ...

Abstract: Sentiment analysis, a key area in Natural Language Processing (NLP), involves categorizing text data based on its emotional tone-positive, negative, or neutral. With the growing reliance on ...

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 ...

Today’s economic calendar begins with a sparse lineup offering little to drive major market shifts. Preliminary Building Permits and Housing Starts for July provide a glimpse into construction ...

According to @KookCapitalLLC, traders should unfollow accounts that keep fading the hype trade because that approach is out of touch and leads to losing trades, indicating a momentum-driven regime ...

According to @milesdeutscher, traders can prompt Perplexity to scan social networks and generate crypto market sentiment and mindshare analytics as a free alternative to paid mindshare platforms ...

Have you ever found yourself frustrated by Excel’s inability to handle ties in rankings without creating gaps in the sequence? Imagine analyzing employee salaries or sales performance, only to ...