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 ...
Searchenginejournal.com

Automated Intent Classification Using Deep Learning

Research keywords. Write content. Build links. Nowadays, search engines are able to match pages even if the keywords are not present. They are also getting better at directly answering questions. At ...
VentureBeat

Meta Introduces Spirit LM open source model that combines text and speech inputs/outputs

Just in time for Halloween 2024, Meta has unveiled Meta Spirit LM, the company’s first open-source multimodal language model capable of seamlessly integrating text and speech inputs and outputs.
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 ...