NAL Automated Indexing
Description
Library content grows rapidly every year as knowledge expands, but it isn't possible for a small team of librarians to organize it manually, efficiently, and accurately at scale.
Detailed example
The model outputs terms to use as search tags that are specific to the article analyzed.
AI / analytics pattern
Natural Language Processing: AI that processes, interprets, and shares information in human language.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
This system automatically assigns word tags to agricultural research articles from a controlled list of terms provided by the National Agricultural Library Thesaurus (NALT). The tags can be used to look up and retrieve articles. Using these tags benefits users by making it easier to find the content they are looking for.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
The data are a collection of text scripts from publishers that have undergone quality assurance and quality control processing.