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Knowledge Hub

Natural Language Processing: Models, Libraries & Learning Resources

NLP teaches machines to read, interpret and generate human language. This hub links to the NLP directories on this site and to core libraries, benchmarks and learning resources.

27 topics•4 categories•Updated October 2026

NLP Directories on This Site

8 entries

Models, libraries and analytics.

01Large Language ModelsFrontier, open-weight and earlier language models. 02NLP Models for Sentiment AnalysisLibraries and models for sentiment analysis. 03Python Libraries for Sentiment AnalysisPython NLP libraries. 04Text Data Analytics SolutionsText analytics platforms. 05OCR ModelsOptical character recognition models. 06Speech Analytics PlatformsSpeech analytics for contact centres. 07Language ModelsLanguage model types. 08Text MiningTechniques, libraries, topic modeling, entity extraction, document parsing and text analytics platforms for turning text into structured insight.

Libraries & Toolkits

6 entries

Core software for NLP.

09Hugging Face TransformersLibrary and hub for pretrained transformer models. 10spaCyIndustrial-strength NLP library for Python. 11NLTKNatural Language Toolkit for teaching and research. 12Sentence TransformersEmbeddings and semantic search with sentence models. 13HaystackFramework for retrieval and LLM pipelines. 14Stanford CoreNLPJava NLP toolkit from Stanford.

Courses, Books & Research

5 entries

Where to learn and keep up.

15Speech and Language Processing (Jurafsky & Martin)Free draft of the standard NLP textbook. 16Stanford CS224NNLP with deep learning course. 17Hugging Face LLM CourseFree course on transformers and language models. 18ACL AnthologyOpen archive of computational linguistics papers. 19SuperGLUEBenchmark for general language understanding.

Related Pages

8 entries

Neighbouring directories.

20Artificial IntelligenceAI hub. 21Deep LearningDeep learning hub. 22Machine Learning LibrariesML libraries across languages. 23Computer VisionComputer vision hub. 24Generative AIGenerative AI hub. 25Agentic AIAgentic AI hub. 26Knowledge EngineeringKnowledge engineering hub. 27Edge AIAI at the edge.

Frequently Asked Questions

What is natural language processing?

NLP is the field of AI concerned with enabling computers to understand, interpret and generate human language, in tasks such as translation, summarisation, question answering and sentiment analysis.

How do LLMs relate to NLP?

Large language models are the current dominant approach to NLP; the Large Language Models page lists frontier and open-weight families.

Which library should I learn?

spaCy for production pipelines, NLTK for learning, and Hugging Face Transformers for pretrained models.

How do I learn NLP?

Start with Jurafsky and Martin or Stanford CS224N, then practise with Hugging Face courses and the libraries listed here.

Where does speech fit?

Speech analytics and OCR convert audio and images into text so NLP can process them; see the related directories.