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Natural language processing: A window to understanding skincare trends.

Jack A Cummins1, Vinod E Nambudiri2

  • 1Manchester Essex Regional High School, 36 Lincoln Street, Manchester, MA 01944, United States.

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|February 5, 2022
PubMed
Summary

Natural language processing (NLP) of Reddit skincare discussions reveals public interest trends and sentiment. Analysis of over 3 million comments identified seasonal variations in topics like sunscreen, showing public response to environmental concerns.

Keywords:
DermatologyNatural language processingPublic healthSkin careSunscreening agents

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Area of Science:

  • Dermatology
  • Computational Linguistics
  • Public Health

Background:

  • Reddit serves as a significant social media platform for discussions.
  • Natural language processing (NLP) can analyze Reddit data for public health insights.
  • Tracking discussion frequency and content provides valuable information over time.

Purpose of the Study:

  • To employ NLP techniques for categorizing and tracking skincare discussions on Reddit.
  • To gain insights from Reddit comments using sentiment analysis and word search.
  • To understand public perception and trends in the skincare domain.

Main Methods:

  • Utilized historical Reddit comments from the r/SkincareAddiction subreddit.
  • Applied Latent Dirichlet Allocation (LDA) for topic modeling.
  • Conducted sentiment analysis and word frequency analysis on over 3 million comments.

Main Results:

  • Classified comments into 25 distinct topics, with sunscreen, diet, and exfoliants showing seasonal interest.
  • Observed peaks in discussion frequency for "coral" and "oxybenzone" correlating with media coverage on coral bleaching.
  • Sentiment analysis indicated a generally positive sentiment across examined skincare topics.

Conclusions:

  • NLP is effective for analyzing large-scale online dermatology discussions.
  • This method provides insights into patient perceptions and trends in dermatology.
  • Online forum analysis can supplement traditional research in understanding public engagement with skincare.