Nature

Position-context additive transformer-based model for classifying text data on social media

In recent years, the continuous increase in the growth of text data on social media has been a major reason to rely on the pre-training method to develop new text classification models specially ...
Nature

A text classification method by integrating mobile inverted residual bottleneck convolution networks and capsule networks with adaptive feature channels

The rapid development of the Internet has generated a vast amount of textual data, including web pages, news articles, papers, e-books, chat content, emails, and user comments. The challenge of ...
TechCrunch

Google debuts a new Gemini-based text embedding model

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into numerical ...