XDA Developers on MSN

I used my local LLM to sort hundreds of gaming clips, and it was the laziest solution that worked

I tried training a classifier, then found a better solution.
The Print on MSN

The gospel of Nietzsche’s Chandala—how the German philosopher appropriated Manusmriti

In ‘The Ambedkar–Nietzsche Provocations’ Ankit Kawade explores their shared critique of morality and caste.

egnite, Inc. Receives U.S. Patent for NLP-Based Algorithm That Classifies Mitral Regurgitation Mechanism from Echocardiographic Reports

egnite, Inc. Receives U.S. Patent for NLP-Based Algorithm That Classifies Mitral Regurgitation Mechanism from Echocardiographic Reports Patent recognizes egnite's novel approach to identifying ...
IEEE

Harnessing Natural Language Processing (NLP) and Generative AI Techniques for Social Media Sentiment Analysis with Text Classification

Abstract: Social media text and posts are analyzed through advanced computing and artificial intelligence systems to determine user sentiments. The word intensity and activities involved in their use ...
IEEE

HiGATA: Hierarchy-aware Graph Attention Networks Enhanced by Topological Analysis for Hierarchical Multi-Label Text Classification

Abstract: Hierarchical text classification (HTC) is an important yet challenging task in natural language processing (NLP), primarily due to the complexity of its taxonomic label hierarchy. Existing ...
Frontiers

Parameter-efficient fine-tuning for low-resource text classification: a comparative study of LoRA, IA

The successful application of large-scale transformer models in Natural Language Processing (NLP) is often hindered by the substantial computational cost and data requirements of full fine-tuning.
The New York Times

With the Em Dash, A.I. Embraces a Fading Tradition

The debate about ChatGPT’s use of the em dash signifies a shift in not only how we write, but what writing is for. By Nitsuh Abebe There are countless signals you might look for to determine whether a ...
GitHub

Harnessing LSTM Networks for Advanced Text Classification in NLP

This project demonstrates the use of Long Short-Term Memory (LSTM) networks for classifying text messages as spam or ham (non-spam). By combining Natural Language Processing (NLP) techniques with deep ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...