AI for Natural Language Processing

Build AI systems that understand and derive information from human languages

Artificial intelligence (AI) is transforming natural language processing (NLP), significantly advancing how machines analyze, understand, and generate human language.

You can use MATLAB products to:

Access and explore text data from multiple documents and online sources
Preprocess and structure the data to a format that AI models can understand
Train AI models from scratch or use pretrained large language models (LLMs)
Share insights and deploy NLP systems to the cloud or production

Why MATLAB?

Low-Code Apps

Use low-code apps to streamline audio feature extraction and interactively clean and structure text data.

Extract Audio Features

Preprocess Text Data

Transformers and LLMs

Use LLMs by connecting MATLAB to the OpenAI™ Chat Completions API or loading built-in models.

LLMs with MATLAB

Train BERT Document Classifier

Visualizations

Visualize text data and AI models with word clouds and scatter plots.

Visualize Text Data Using Word Clouds

Visualize Word Embeddings Using Text Scatter Plots

Verification

Verify the robustness and reliability of deep neural networks.

Out-of-Distribution Detection for LSTM Document Classifier

Deep Learning Toolbox Verification Library

Using AI for Natural Language Processing with MATLAB

Whether you are new to AI for NLP or designing smart NLP systems, explore these tutorials and examples to advance your skills and help you with your next project.