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Abstract: Sentiment Analysis is a natural language processing task that mines information from various text forms such as reviews, news, and blogs and classifies them by their polarity as positive, ...

1 Department of Health Data Science and Biostatistics, University of Texas Southwestern Medical Center, Dallas, TX, United States 2 Department of Bioinformatics, University of Texas Southwestern ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

ABSTRACT: This study focuses on Sina Weibo as the research platform, constructing a corpus of Traditional Chinese Medicine (TCM) marketing content spanning 2019-2024. By integrating four analytical ...

In the volatile world of cryptocurrency trading, success hinges not only on technical indicators or fundamental analysis but increasingly on understanding market sentiment. Cryptocurrency is a market ...

Implement a lexicon-based sentiment analysis system for German that assigns four polarity labels ("positiv" (positive), "negativ" (negative), "neutral" (neutral), and "gemischt" (mixed)) to sentences, ...

Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly ...

Financial sentiment analysis (FSA) is critical for investors, analysts, and policymakers, offering insights into market trends through news reports, financial statements, and social media.