Ask a hiring manager at a Bay Area tech company what they want from a new data hire, and "NLP" as a standalone skill barely comes up anymore. What they’re actually describing—building pipelines that ...

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.

Unlock automatic understanding of text data! Join our hands-on workshop to explore how Python—and spaCy in particular—helps you process, annotate, and analyze text. This workshop is ideal for data ...

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 generation.

Ms. O’Rourke is the executive editor of The Yale Review and a professor of creative writing at Yale University. July 18, 2025 When I first told ChatGPT who I was, it sent a gushing reply: “Oh wow — it ...

Abstract: This article presents a comparative study of text classification [1] models used in the automotive industries, using NLP (Natural Language Processing) [2]. The focus is placed on using the ...

School of Computer Science and Technology, Zhejiang Normal University, Jinhua, China. This study aims to design and implement an efficient news text classification system based on deep learning to ...

In recent decades, medical short texts, such as medical conversations and online medical inquiries, have garnered significant attention and research. The advances in the medical short text have ...