The first, and often the hardest, task in writing a newspaper column, a school essay or even a book, is to select a topic. Or more precisely, to shed many of the numerous suitable topics demanding ...

Abstract: Topic modeling is a crucial technique for extracting latent themes from unstructured text data, particularly valuable in analyzing survey responses. However, traditional methods often only ...

The 2025 Florida Python Challenge, ending July 20, had 933 participants from 30 states and two countries. $25,000 in prizes will be awarded across professional, novice, and military categories. The ...

German software company PVRadar Labs has released a Python programming toolbox for industry practitioners that are building site-specific models. The package provides a shortcut to to customize yield ...

Whitepaper on Topical LDA application on documents. Base corpus: LDS General Conference articles spanning decades. Built for a Ling 485 class.

Soon to be the official tool for managing Python installations on Windows, the new Python Installation Manager picks up where the ‘py’ launcher left off. Python is a first-class citizen on Microsoft ...

A Microsoft model can make accurate 10-day forecasts quickly, an analysis found. And, it’s designed to predict more than weather. By Rebecca Dzombak Weather forecasters rely on models to help them ...

For topic modeling, posts with <50 tokens were removed, leaving 53.81% (4059/7543) of the posts, which were analyzed using latent Dirichlet allocation with coherence score optimization to identify the ...

Over the past few years, many K-12 public school teachers across the country have been subjected to state laws and restrictions on teaching social and political topics. Even many teachers who work in ...