{
  "abstract": "Recalling positive autobiographical memories (AMs) can improve wellbeing, yet few studies capture these memories as they naturally occur or examine their detailed content. In a sample of 70 community adults, we used ecological momentary assessment to assess naturally occurring positive AMs in daily life. Using the large language model-based Python library BERTopic, we identified eight underlying topics: ‘Friends, partner, family’ (68.42%), ‘Work, study’ (8.33%), ‘Being in nature or the moment, pets’ (5.60%), ‘Family & social events’ (3.69%), ‘Exam success’ (3.96%), ‘Success in sports – self or as a fan’ (3.28%), ‘Outdoor activities and sports’ (3.14%), and ‘School days, studies’ (2.19%). Participants reported vivid, sensory AMs accompanied by positive emotions. Greater AM vividness was systematically associated with greater immediate AM-related happiness, underscoring vividness as a potential amplifier in everyday remembering. By sharing our detailed methodology, code, and anonymized examples, we lay the groundwork for large-scale computational analysis of AMs assessed under the noisy and unstructured conditions of everyday life.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 5,
  "authors": [
    {
      "name": "Christina Haag"
    },
    {
      "name": "Lynn Alison Bueeler"
    },
    {
      "name": "David Bürgin"
    },
    {
      "name": "Michel Philipp"
    },
    {
      "name": "Birgit Kleim"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/dgt4enmdx9mrx.bib",
  "cited_by": 0,
  "doi": "10.31234/osf.io/5tjpg_v2",
  "fulltext_url": null,
  "id": "dgt4enmdx9mrx",
  "issns": [],
  "landing_url": "https://osf.io/preprints/psyarxiv/5tjpg_v2/",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "bepress",
      "Clinical Psychology"
    ],
    [
      "bepress",
      "Social and Behavioral Sciences"
    ],
    [
      "openalex",
      "3204|Identity, Memory, and Therapy"
    ]
  ],
  "openalex": "W7112015937",
  "pdf_url": "https://osf.io/5tjpg/download",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-23",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/dgt4enmdx9mrx.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:23:55Z",
      "native_id": "5tjpg",
      "source": "osf",
      "url": "https://osf.io/preprints/psyarxiv/5tjpg_v2/"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "bepress:Clinical Psychology",
      "subfield": "psychiatry"
    }
  ],
  "title": "Using natural language processing analysis to investigate daily-life positive autobiographical memories",
  "title_text": "Using natural language processing analysis to investigate daily-life positive autobiographical memories",
  "type": "preprint",
  "updated_at": "2026-10-30T12:23:55Z",
  "url": "https://research.draconitic.com/paper/dgt4enmdx9mrx",
  "venue": "PsyArXiv",
  "versions": []
}