Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Written content remains the foundation of digital communication, from academic research and corporate reporting to online publishing and SEO-driven platforms. Statistical reviews of content ecosystems ...

Two complementary approaches were employed: Study 1 analyzed 1,902 Weibo posts containing “diet” and “social” keywords through latent Dirichlet allocation topic modeling and semantic network analysis ...

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 ...

ttta (spoken: "triple t a") is a collection of algorithms to handle diachronic texts in an efficient and unbiased manner. As code for temporal text analysis papers is mostly scattered across many ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. This paper presents ZacrosTools, a free and open-source Python library designed to ...

Tomorrow, we’ll build a full Rich Text Editor with bold, italic, font styles, colors, links—you name it. But first, let’s master the basics.

In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face ...

To meet the web content crawlability and indexability needs of large language models, a new standards proposal for AI/LLMs by Australian technologist Jeremy Howard is here. His proposed llms.txt acts ...

Everything on a computer is at its core a binary number, since computers do everything with bits that represent 0 and 1. In order to have a file that is "plain text", so human readable with minimal ...