{"doi":"10.17615/tsfy-b906","title":"Adapting natural language processing and sentiment analysis methods for an intervention in older adults: Positive perceptions of health and technology.","abstract":"Background: Older adults frequently participate in behavior change studies, yet it is not clear how to quantify a potential relationship between their perception of the intervention and its efficacy. Research Aim: We assessed the relationship between participant sentiment toward the intervention from follow-up interviews with physical activity and questionnaires for the perception of health. Methods: Sentiment was calculated using the transcripts of exit interviews through a bag of words approach defined as the sum of positive and negative words in 28 older adults with obesity (body mass index &ge;30kg/m<sup>2</sup>). Results: Mean age was 73 years (82% female), and 54% lost &ge;5% weight loss. Through linear regression we describe a significant association between positive sentiment about the intervention and weight loss; positive sentiment on technology and change in PROMIS-10 physical health and reduced physical activity time, while controlling for sex and age. Conclusions: This analysis demonstrates that sentiment analysis and natural language processing in program review identified an association between perception and topics with clinical outcomes.","journal":"UNC Libraries","year":2025,"id":561939,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.96,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1154547,"name":"Xingyi Li","orcid":"0000-0002-0368-4538","position":1,"is_corresponding":false},{"id":272507,"name":"John A. Batsis","orcid":"0000-0002-0845-4416","position":2,"is_corresponding":false},{"id":264532,"name":"Curtis L. Petersen","orcid":"0000-0002-7210-447X","position":3,"is_corresponding":false},{"id":440318,"name":"Courtney J. Stevens","orcid":"0000-0002-5696-4904","position":4,"is_corresponding":false},{"id":319568,"name":"Tyler Gooding","orcid":null,"position":5,"is_corresponding":false},{"id":440348,"name":"Elizabeth Carpenter–Song","orcid":"0000-0002-7545-1717","position":0,"is_corresponding":true}],"reference_count":0,"raw_metadata":null,"created_at":"2026-07-19T02:56:01.883848Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}