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Social Media Engagement Prediction using Natural Language Processing

Business problem

How to drive social media engagement on Instagram for fast-fashion brands?

Analysis

  • Using Google Image Analytics and Topic Modeling - Latent Dirichlet Allocation (LDA) to understand what works well for brands like Zara and H&M that have high Instagram engagement
  • Analyzing if there a different engagement strategy for men’s wear at Zara and H&M
  • Defining engagement score as 60% of normalized comments + 40% of normalized likes
  • Predicting whether the next Instagram post of Zara and H&M will have high engagement using Logistic Regression and Principal Component Analysis with predictors as TF-IDF word vectors from Google Image Analytics output and target as the calculated engagement score

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