OpenAI's ChatGPT Images 2.0 is here and it does multilingual text, full infographics, slides, maps, even manga — seemingly flawlessly

For creators working on storyboards or brand campaigns, the most impactful new feature is the ability to generate up to eight ...
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 ...
GitHub

NLP Classification on 20newsgroups (sklearn_20newsgroups)

This project turns raw text into TF‑IDF features (uni-grams + bi-grams) and trains a linear SVM. The baseline predicts the most frequent class; the tuned model captures discriminative terms across ...
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 ...
ascopubs.org

From text to insight: Methods for validation of NLP-extracted real-world oncology data using a human-in-the-loop electronic review tool.

Real world analysis of VTE incidence in lung cancer: A comprehensive assessment of the Khorana score and other clinical factors in predicting VTE incidence. This is an ASCO Meeting Abstract from the ...