Abstract: Sentiment analysis for morphologically rich, low-resource languages remains challenging, particularly in three-class settings (negative/neutral/positive) and under domain shift. We study ...
In today's hyperconnected world, social media has become a critical channel for businesses to understand consumers. While social listening tools are widely used, they often fall short, providing only ...
Abstract: This research performs a sentiment analysis oof Reddit users' opinion about AI in education with Valence Aware Dictionary and Sentiment Reasoner (VADER) library. Artificial intelligence (AI) ...
This is a comprehensive data solution designed to streamline the collection, transformation, and analysis of financial data related to gold as a commodity for investment portfolio management. A ...
Sometimes a term is so apt, its meaning so clear and so relevant to our circumstances, that it becomes more than just a useful buzzword and grows to define an entire moment. “Enshittification,” coined ...
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 ...
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 ...
The first script, cot_collector.py, is designed to scrape and parse COT data from the CFTC website, specifically from the Chicago Mercantile Exchange (CME) futures reports. Here's how it operates: ...
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