Matches in SemOpenAlex for { <https://semopenalex.org/work/W4207070897> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4207070897 endingPage "104705" @default.
- W4207070897 startingPage "104705" @default.
- W4207070897 abstract "Reddit is a popular social media discussion forum. Reddit data can be analyzed with natural language processing techniques to gain insights into public health questions by tracking frequency of discussion on relevant topics over time and analysis of discussion content.To apply natural language processing techniques to categorize, track, and gain insights from comments regarding skincare-related topics on Reddit using sentiment analysis and word search techniques.Historical Reddit comments available on Google BigQuery from the r/SkincareAddiction subreddit were selected and preprocessed. Latent Dirichlet Allocation was applied to create topics. Selected topics were further investigated for interest over time, by determining comment frequencies of words of interest. Sentiment analysis was also applied to each topic.>3,000,000 comments were analyzed and classified into 25 topics. Topics related to sunscreen, diet, and exfoliants were examined for response frequencies over time, demonstrating seasonal variation. Taking comment frequencies demonstrated peaks containing coral and oxybenzone that corresponded to media coverage of sunscreen-associated coral bleaching. Queries containing physical and mineral demonstrated an evolution in word choice describing physical/mineral sunscreens over time. Sentiment analysis demonstrated a range from mildly positive to moderately positive sentiment across the five examined skincare topics.Our analysis was limited to one subreddit category. Additionally, Latent Dirichlet Allocation is an unsupervised model; its accuracy cannot be readily assessed. Taking comment frequencies for words, while powerful, cannot be used to find word trends that are not intentionally queried by the user.Natural language processing is a powerful tool to examine large dermatology discussion forums and gain insights into patient perceptions of the field." @default.
- W4207070897 created "2022-01-26" @default.
- W4207070897 creator A5047935181 @default.
- W4207070897 creator A5091244867 @default.
- W4207070897 date "2022-04-01" @default.
- W4207070897 modified "2023-10-01" @default.
- W4207070897 title "Natural language processing: A window to understanding skincare trends" @default.
- W4207070897 cites W2011301426 @default.
- W4207070897 cites W2099813784 @default.
- W4207070897 cites W2602628430 @default.
- W4207070897 cites W2737045761 @default.
- W4207070897 cites W2913054822 @default.
- W4207070897 cites W2927462243 @default.
- W4207070897 cites W2958745557 @default.
- W4207070897 cites W3002330681 @default.
- W4207070897 cites W3030017956 @default.
- W4207070897 cites W3092289137 @default.
- W4207070897 doi "https://doi.org/10.1016/j.ijmedinf.2022.104705" @default.
- W4207070897 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35121355" @default.
- W4207070897 hasPublicationYear "2022" @default.
- W4207070897 type Work @default.
- W4207070897 citedByCount "2" @default.
- W4207070897 countsByYear W42070708972022 @default.
- W4207070897 countsByYear W42070708972023 @default.
- W4207070897 crossrefType "journal-article" @default.
- W4207070897 hasAuthorship W4207070897A5047935181 @default.
- W4207070897 hasAuthorship W4207070897A5091244867 @default.
- W4207070897 hasConcept C136764020 @default.
- W4207070897 hasConcept C154945302 @default.
- W4207070897 hasConcept C171686336 @default.
- W4207070897 hasConcept C204321447 @default.
- W4207070897 hasConcept C23123220 @default.
- W4207070897 hasConcept C2522767166 @default.
- W4207070897 hasConcept C41008148 @default.
- W4207070897 hasConcept C500882744 @default.
- W4207070897 hasConcept C518677369 @default.
- W4207070897 hasConcept C66402592 @default.
- W4207070897 hasConcept C94124525 @default.
- W4207070897 hasConceptScore W4207070897C136764020 @default.
- W4207070897 hasConceptScore W4207070897C154945302 @default.
- W4207070897 hasConceptScore W4207070897C171686336 @default.
- W4207070897 hasConceptScore W4207070897C204321447 @default.
- W4207070897 hasConceptScore W4207070897C23123220 @default.
- W4207070897 hasConceptScore W4207070897C2522767166 @default.
- W4207070897 hasConceptScore W4207070897C41008148 @default.
- W4207070897 hasConceptScore W4207070897C500882744 @default.
- W4207070897 hasConceptScore W4207070897C518677369 @default.
- W4207070897 hasConceptScore W4207070897C66402592 @default.
- W4207070897 hasConceptScore W4207070897C94124525 @default.
- W4207070897 hasLocation W42070708971 @default.
- W4207070897 hasLocation W42070708972 @default.
- W4207070897 hasOpenAccess W4207070897 @default.
- W4207070897 hasPrimaryLocation W42070708971 @default.
- W4207070897 hasRelatedWork W1553232534 @default.
- W4207070897 hasRelatedWork W2370554703 @default.
- W4207070897 hasRelatedWork W2584879565 @default.
- W4207070897 hasRelatedWork W3118656355 @default.
- W4207070897 hasRelatedWork W3134258215 @default.
- W4207070897 hasRelatedWork W4205363784 @default.
- W4207070897 hasRelatedWork W4225727302 @default.
- W4207070897 hasRelatedWork W4280613652 @default.
- W4207070897 hasRelatedWork W4281788314 @default.
- W4207070897 hasRelatedWork W4308261379 @default.
- W4207070897 hasVolume "160" @default.
- W4207070897 isParatext "false" @default.
- W4207070897 isRetracted "false" @default.
- W4207070897 workType "article" @default.