Abstract: Multimodal sentiment analysis has garnered significant attention for capturing and comprehending human emotions more authentically and comprehensively, multimodal sentiment analysis has ...

XRP is catching retail skepticism again in a gauge that has historically proven profitable for contrarian bets. Data from Santiment shows the token’s bullish-to-bearish commentary ratio slipped under ...

Have you ever wondered how businesses sift through mountains of customer feedback to uncover what truly matters? Imagine receiving hundreds, if not thousands, of product reviews, emails, or survey ...

First, lexicon-based sentiment analysis using the open-source software AFINN was conducted for the Finnish- and Spanish-language datasets. Thereafter, transformer-based deep learning models for ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

Trader-Performance-and-Market-Sentiment-Analysis This repository contains a Python script to analyze the relationship between trader performance and market sentiment. The script processes Excel ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Abstract: To tackle the challenge of data diversity in sentiment analysis and improve the accuracy and generalization ability of sentiment analysis, this study first cleans, denoises, and standardizes ...

Do Democrats Need a White Male Version of Kamala Harris? New York’s Oopsie Ballot Proposal Imagine That — Actions Have Consequences New Elise Stefanik Book ...