Deep learning is transformed by a hybrid model combining text and image processing in a transforming approach to categorization chores. It addresses multi-type data—that which combines text and visual ...

Text classification aims to establish text distinctions, which face difficulty in capturing global text semantics and local details. To address this issue, we propose an Adaptive Feature Interactive ...

New text classification API for Microsoft’s open source machine learning framework streamlines model training by using your data to fine-tune an existing model. Microsoft has unveiled a preview of the ...

This online data science specialization is ideal for learners interested in tackling advanced advertising and marketing analytics using three advanced methods: text classification, text topic modeling ...

Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students will learn how ...

Previewed in June, the Text Classification API enables developers to train custom models to classify raw text data. The Text Classification API uses a pre-trained TorchSharp NAS-BERT model from ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...