{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T05:40:10Z","timestamp":1778305210649,"version":"3.51.4"},"reference-count":46,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T00:00:00Z","timestamp":1648598400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100008532","name":"Universidade Federal do Rio Grande do Norte","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100008532","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Public Health"],"abstract":"<jats:p>Congenital syphilis (CS) remains a threat to public health worldwide, especially in developing countries. To mitigate the impacts of the CS epidemic, the Brazilian government has developed a national intervention project called \u201cSyphilis No.\u201d Thus, among its range of actions is the production of thousands of writings featuring the experiences of research and intervention supporters (RIS) of the project, called field researchers. In addition, this large volume of base data was subjected to analysis through data mining, which may contribute to better strategies for combating syphilis. Natural language processing is a form of knowledge extraction. First, the database extracted from the \u201cLUES Platform\u201d with 4,874 documents between 2018 and 2020 was employed. This was followed by text preprocessing, selecting texts referring to the field researchers' reports for analysis. Finally, for analyzing the documents, N-grams extraction (<jats:italic>N<\/jats:italic> = 2,3,4) was performed. The combination of the TF-IDF metric with the BoW algorithm was applied to assess terms' importance and frequency and text clustering. In total, 1019 field activity reports were mined. Word extraction from the text mining method set out the following guiding axioms from the bigrams: \u201cconfronting syphilis in primary health care;\u201d \u201cinvestigation committee for congenital syphilis in the territory;\u201d \u201cmunicipal plan for monitoring and investigating syphilis cases through health surveillance;\u201d \u201cwomen's healthcare networks for syphilis in pregnant;\u201d \u201cdiagnosis and treatment with a focus on rapid testing.\u201d Text mining may serve public health research subjects when used in parallel with the conventional content analysis method. The computational method extracted intervention activities from field researchers, also providing inferences on how the strategies of the \u201cSyphilis No\u201d Project influenced the decrease in congenital syphilis cases in the territory.<\/jats:p>","DOI":"10.3389\/fpubh.2022.855680","type":"journal-article","created":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T12:05:00Z","timestamp":1648641900000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":15,"title":["The Text Mining Technique Applied to the Analysis of Health Interventions to Combat Congenital Syphilis in Brazil: The Case of the \u201cSyphilis No!\u201d Project"],"prefix":"10.3389","volume":"10","author":[{"given":"Marcella A.","family":"da Rocha","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marquiony M.","family":"dos Santos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Raphael S.","family":"Fontes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andr\u00e9a S. 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