There are several methodologies for indexing:[1][2]
Standalone indexing applications enable an indexer to create an index as a separate document, later to be integrated into the original text, by manually entering headings and page numbers or other locators. Such applications collate, alphabetize, and sort the raw input to create a formatted index.
Embedded indexing includes the index headings in the midst of the text itself, but surrounded by codes so that they are not normally displayed. A usable index is then generated automatically from the embedded text using the position of the embedded headings to determine the locators. Thus, when the pagination is changed the index can be regenerated with the new locators.
Tagging allows indexing codes to be embedded in the text after the indexing is complete. The indexer inserts numbered dummy tags in the files, and then builds the index separately
Many word processors and desktop publishing software have integrated automated indexing functions. These tools build a concordance or word lists from processed files. They have often limited usage.
AI and machine-learning approaches have not yet matured to the point where they can create finished or near-finished indexes.
indexing, software, consists, computer, applications, that, help, build, index, like, this, index, branches, science, features, editthere, several, methodologies, indexing, standalone, indexing, applications, enable, indexer, create, index, separate, document,. Indexing software consists of computer applications that help to build an index like this one Index of branches of science 1 Features editThere are several methodologies for indexing 1 2 Standalone indexing applications enable an indexer to create an index as a separate document later to be integrated into the original text by manually entering headings and page numbers or other locators Such applications collate alphabetize and sort the raw input to create a formatted index Embedded indexing includes the index headings in the midst of the text itself but surrounded by codes so that they are not normally displayed A usable index is then generated automatically from the embedded text using the position of the embedded headings to determine the locators Thus when the pagination is changed the index can be regenerated with the new locators Tagging allows indexing codes to be embedded in the text after the indexing is complete The indexer inserts numbered dummy tags in the files and then builds the index separately Many word processors and desktop publishing software have integrated automated indexing functions These tools build a concordance or word lists from processed files They have often limited usage AI and machine learning approaches have not yet matured to the point where they can create finished or near finished indexes See also editSubject indexing concordance tf idfReferences edit a b Software asindexing org The American Society for Indexing Retrieved 2017 01 07 Golub Koraljka 2019 Automatic subject indexing of text IEKO Knowledge Organization 46 2 104 121 doi 10 5771 0943 7444 2019 2 104 S2CID 108348599 Retrieved 2022 06 03 nbsp This computing article is a stub You can help Wikipedia by expanding it vte Retrieved from https en wikipedia org w index php title Indexing software amp oldid 1150116845, wikipedia, wiki, book, books, library,
