Automatic Classification of Subjects and Sustainable Development Goals (SDGs) in Documents with Generative AI: An Experience from the Unicamp Library System.
This study evaluates the effectiveness of the Artificial Intelligence for Theme Generation tool (original Portuguese acronym name: IAGeraTemas), developed with generative artificial intelligence (AI; Google Gemini), for automating thematic classification and the assignment of Sustainable Development...
| Publicado en: | Information Technology & Libraries Vol. 45; no. 1; pp. 1 - 25 |
|---|---|
| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
American Library Association
Mar2026
|
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192754541&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192754541 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 07309295 ITL jtl: Information Technology & Libraries issn: 07309295 maglogo: N pubinfo: dt: Mar2026 vid: 45 iid: 1 pid: 55 pub: American Library Association place: Chicago, Illinois artinfo: ui: 192754541 192754541 192754541 10.5860/ital.v45i1.17510 192754541 ppf: 1 ppct: 24 formats: fmt: @attributes: type: P tig: atl: Automatic Classification of Subjects and Sustainable Development Goals (SDGs) in Documents with Generative AI: An Experience from the Unicamp Library System. aug: au: deu Gonçalves de Oliveira Foz, Francisco Ta Martins, Márcio Souza de Souza Neves, Alessandra Karyne Clemente de Carvalho Mansur, Erica Cristina Eliel, Oscar affil: Project Manager, State University of Campinas (UNICAMP) sug: subj: Sustainable Growth Classification Environmental Sustainability Classification Thematic Analysis Artificial Intelligence, Generative Human Automation Libraries, Academic Librarians Abstracting and Indexing Quantitative Studies Qualitative Studies ab: This study evaluates the effectiveness of the Artificial Intelligence for Theme Generation tool (original Portuguese acronym name: IAGeraTemas), developed with generative artificial intelligence (AI; Google Gemini), for automating thematic classification and the assignment of Sustainable Development Goals (SDGs) in documents. The methodology combined quantitative analyses (metrics of precision, recall, and accuracy) on 50 articles published by authors from the State University of Campinas (Unicamp), using classification from the SciVal database and qualitative analyses (analysis of the relevance of terms indexed by librarians from the Unicamp Library System in 40 articles available in the Unicamp Institutional Repository), comparing them with manual indexing performed by librarians. The quantitative results in SDG classification showed a recall of 0.785, while the "precision" and "accuracy" metrics were moderate. The qualitative analysis deepened the evaluation of term coherence and relevance suggested by the AI versus human indexing. It revealed the tool's potential for suggesting relevant terms and expanding concepts, but it also exposed limitations in addressing complex topics. The research, conducted as an experiment at Unicamp Library System, concludes that IAGeraTemas is a valuable auxiliary tool, complementing but not replacing manual indexing, reinforcing the importance of human expertise in validating and refining results, and emphasizing the synergistic potential between AI and information professionals. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
|---|