Researchers say they've developed a framework -- TextFooler -- that generates adversarial examples capable of fooling leading natural language models.

MIT researchers have developed a new technique to fool text classifiers using a sentence-rewriting AI system.

Text Marketing Analytics Specialization This online data science specialization is ideal for learners interested in tackling advanced advertising and marketing analytics using three advanced methods: ...

Describe text classification and related terminology (e.g., supervised machine learning). Apply text classification to marketing data through a peer-graded project. Apply text classification to a ...

Biological classification aims at establishing ordering systems for organisms. Principles of classification, however, differ in their criteria and in their information content. Cladistic ...