tekstindexen
Tekstindexen are data structures used to enable fast searching in large collections of text by mapping terms to the documents that contain them. The most common form is the inverted index, which allows a query to be turned into a set of candidate documents quickly. Text indexing underpins full-text search, phrase queries, and ranking in many information retrieval systems.
A typical inverted index consists of a dictionary (the term lexicon) and postings lists. For each term,
Indexing typically involves preprocessing the text: normalization, tokenization, lowercasing, removal of stop words, and stemming or
Searching and ranking use the index to retrieve candidate documents and then order them by relevance. Common
Applications include search engines, content management systems, digital libraries, and e-commerce platforms. Key challenges are managing