Objective Concentration of care and collaborations between hospitals increasingly reorganise oncological care into Comprehensive Cancer Networks (CCNs), aiming to improve care outcomes and reduce ...
Here’s an analysis of the letter bearing Donald Trump’s name that was included in a 50th birthday book for Jeffrey Epstein. The Wall Street Journal in July reported on the 2003 birthday book and ...
Welcome to the official repository for Introduction to GIS Programming: A Practical Python Guide to Open Source Geospatial Tools. This repository contains all the code examples featured in the book, ...
LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...
This paper introduces a classification framework to analyze central bank communications across four dimensions: topic, communication stance, sentiment, and audience. Using a fine-tuned large language ...
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 ...
Abstract: Implicit sentiment analysis seeks to identify and interpret the underlying sentiment within texts that lack explicit sentiment words, significantly enhancing the capabilities of opinion ...
People nationwide are being alerted of an ongoing text message scam in which recipients receive fake text messages claiming they owe money for unpaid tolls. In California, the texts may be fake ...
Microsoft has introduced text analysis features in Excel aimed at helping users derive insights from surveys, reviews, and other textual data with ease. Copilot is a new feature in Excel that can help ...
English and Chinese are two completely different languages. There are various differences in history, geography, culture, way of thinking, customs and ways of life. Translation is not only a simple ...
Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...
Interrupted Time Series (ITS) studies are commonly used to evaluate public health and policy interventions when randomisation is impractical or infeasible; for example, examining the effects of mass ...
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