Plain-English NLP explainers

How Computers Read Text

LibriText is a free, independent set of articles that explains natural language processing step by step: how text is split into tokens, how similarity is measured, how classifiers are trained and how keywords and summaries are produced. It is written for students, analysts and developers new to the field.

Start with the basics All articles

Articles only – LibriText does not sell software or offer an API. Not affiliated with LibreTexts.

A five-step reading path

  1. Core NLP concepts – tokens, stems, lemmas, parts of speech and named entities.
  2. Text similarity and semantic search – bag-of-words, embeddings and vector search.
  3. Your first text classifier – features, Naive Bayes and SVMs, and how to evaluate them.
  4. Language detection – character n-grams and the problems of mixed-language text.
  5. Keywords and summaries – TF-IDF, RAKE, TextRank, YAKE and summarization approaches.

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