Abstract: To solve the problems of polysemy and feature extraction in the text sentiment analysis process, a BERT-CNN-BiLSTM-Att hybrid model has been proposed for text sentiment analysis. The BERT ...

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

Pystra (Python Structural Reliability Analysis) is a python module for structural reliability analysis. Its flexibility and extensibility make it applicable to a large suite of problems. Along with ...

Companies say AI will fundamentally change business forever. But what does that change look like, and what are they doing to make it happen? Plus, teen AI founders, humanoid-robot hype, Nvidia’s fresh ...

Abstract: Effective management and analysis of large-scale textual data presents significant challenges, notably due to high storage and processing demands. Text regression analysis, a specific branch ...