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 ...

Bitcoin has experienced a decline of 25% over the past six months and is currently trading below $88,000. This drop is attributed to macroeconomic uncertainties, risk-off sentiment, and diminishing ...

It was a bumpy day in the markets as all eyes were on the World Economic Forum in Davos, Switzerland and President Trump’s speech there. As tensions eased regarding a U.S. takeover of Greenland, ...

Have you ever wished Excel could do more of the heavy lifting for you? Imagine transforming hours of tedious data cleaning and analysis into just a few clicks. That’s exactly what Microsoft’s ...

Word Embedding (Python) is a technique to convert words into a vector representation. Computers cannot directly understand words/text as they only deal with numbers. So we need to convert words into ...

Bitcoin's correlation with equities strengthening, driven by retail and institutional adoption After October crash, bitcoin has struggled; may end down for the year AI stock volatility affects crypto ...

Transfer learning improves task performance in sentiment analysis by borrowing knowledge from pre-trained models and source domains, but still faces challenges such as language differences, model ...

Many central banks make policy decision collectively in the form of a committee. With the increased public communications of policy actions, wording over policy statements became an important tool for ...

Taking a page from market research tactics, UC San Francisco experts are studying whether artificial intelligence (AI) can improve diagnosis of a complex liver condition by using the clinical notes of ...

Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...