As many market participants anticipate a year-end rally, there are mounting indications that such an outcome is far from assured. Investor positioning appears increasingly stretched, with multiple ...

Additionally, the effects of social media platform type, machine learning approach, and use of outcome measures in depression prediction models need attention. Analyzing social media texts for ...

Introduction: The present study provides novel insights into the psychological mechanisms linking social emotions and eating behaviors by integrating large-scale social media analysis with ...

The Snipping Tool in Windows is a useful built-in tool that lets you capture screenshots, but did you know it can also be used to extract text? With a bit of creativity and the right steps, you can ...

To run the metrics that require a VLM, the default implementation uses OpenAI's GPT-4o, so you will need an OpenAI API key. (The demo below does not require this.) Create a .env file in the root ...

Introduction: The autonomic nervous system (ANS) is crucial for maintaining homeostasis in the body and plays an important role in cardiovascular diseases. Although heart rate variability (HRV) is a ...

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

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 ...

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 ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

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