Treffer: Exploring Natural Language Processing through an Exemplar Using YouTube.

Title:
Exploring Natural Language Processing through an Exemplar Using YouTube.
Authors:
Chung J; Elaine Marieb College of Nursing, University of Massachusetts Amherst, 224 Skinner Hall, Amherst, MA 01003, USA., Song S; Department of Artificial Intelligence, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea., Son H; Red Cross College of Nursing, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea.
Source:
International journal of environmental research and public health [Int J Environ Res Public Health] 2024 Oct 15; Vol. 21 (10). Date of Electronic Publication: 2024 Oct 15.
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Imprint Name(s):
Original Publication: Basel : MDPI, c2004-
MeSH Terms:
Natural Language Processing* , Social Media*, Humans ; Nursing Research/methods
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Grant Information:
NRF-2022R1F1A1068236 the National Research Foundation of Korea (NRF) grant
Contributed Indexing:
Keywords: Natural Language Processing; methodology; unstructured data analysis
Entry Date(s):
Date Created: 20241026 Date Completed: 20241026 Latest Revision: 20241028
Update Code:
20250114
PubMed Central ID:
PMC11507262
DOI:
10.3390/ijerph21101357
PMID:
39457330
Database:
MEDLINE

Weitere Informationen

There has been a growing emphasis on data across various health-related fields, not just in nursing research, due to the increasing volume of unstructured data in electronic health records (EHRs). Natural Language Processing (NLP) provides a solution by transforming this unstructured data into structured formats, thereby facilitating valuable insights. This methodology paper explores the application of NLP in nursing, using an exemplar case study that analyzes YouTube data to investigate social phenomena among adults living alone. The methodology involves five steps: accessing data through YouTube's API, data cleaning, preprocessing (tokenization, sentence segmentation, linguistic normalization), sentiment analysis using Python, and topic modeling. This study serves as a comprehensive guide for integrating NLP into nursing research, supplemented with digital content demonstrating each step. For successful implementation, nursing researchers must grasp the fundamental concepts and processes of NLP. The potential of NLP in nursing is significant, particularly in utilizing unstructured textual data from nursing documentation and social media. Its benefits include streamlining nursing documentation, enhancing patient communication, and improving data analysis.