Reuters

Cluster munitions cause more than 1,200 civilian casualties in Ukraine war, global monitor says

GENEVA, Sept 15 (Reuters) - Cluster munitions have caused more than 1,200 civilian casualties in Ukraine since Russia's full-scale invasion in February 2022, a campaign group said on Monday. Cluster ...
InfoQ

Google Launched LangExtract, a Python Library for Structured Data Extraction from Unstructured Text

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
marktechpost

Step by Step Guide on Converting Text to High-Quality Audio Using an Open Source TTS Model on Hugging Face: Including Detailed Audio File Analysis and Diagnostic Tools in Python

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. Leveraging the capabilities of the ...
AppleInsider

M4 Mac minis in a computing cluster is incredibly cool, but not hugely effective

There is a way to use a collection of M4 Mac minis in a cluster, but the benefits only really exist when you use high-end Macs. While most people think of having a more powerful computer means buying ...
InfoWorld

Text drawing and screen capture with Python’s Pillow library

Python's Pillow library, for image manipulation, has features above and beyond merely resizing, rotating, cropping, or recoloring images. In this video we'll see how Pillow can be used to add text ...
Scientific Research Publishing

Jia, J., Wang, H., Ren, K. and Kang, W. (2022) Research on Text Clustering Based on Sentence Vector and Convolutional Neural Network.

ABSTRACT: Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can ...
Scientific Research Publishing

Liu, H. and Wang, Y. (2022) Clustering Short Text Classification Based on Fusion of BERT and GSDMM. Computer Systems & Applications, 31, 267-272.

ABSTRACT: Modeling topics in short texts presents significant challenges due to feature sparsity, particularly when analyzing content generated by large-scale online users. This sparsity can ...
IEEE

Clustering Users as Trigger of Twitter Trending Topic Using Pandas Python and SQL Query

Abstract: This study aims to analyze trending topic data on Twitter using Python and SQL filters to understand which users trigger and have the most influence on the formation of trending topics.