databuild/examples/podcast_reviews/README.md
2025-06-30 22:15:48 -07:00

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Podcast Reviews Example

This is an example data application where we produce text insights from podcast review data. It is made up of N datasets:

  • Raw reviews (date, podcast, text, rating)
  • Podcasts (podcast, title, category)
  • Categorized review text (date, category, podcast, text)
  • Phrase models (date, category, hash, ngram, score)
  • Podcast phrase stats (date, category, podcast, ngram, count, rating)
  • Podcast daily summary (date, category, podcast, phrase_stats, recent_reviews)
flowchart LR
    raw_reviews[(Raw Reviews)] & podcasts[(Podcasts)] --> categorize_text --> categorized_texts[(Categorized Texts)]
    categorized_texts --> phrase[Phrase Modeling] --> phrase_models[(Phrase Models)]
    phrase_models & raw_reviews --> phrase_stats --> podcast_phrase_stats[(Podcast Phrase Stats)]
    podcast_phrase_stats & raw_reviews --> calc_summary --> podcast_daily_summary[(Podcast Daily Summary)]

Input Data

Get it from here! (and put it in examples/podcast_reviews/data/ingest/database.sqlite)

phrase Dependency

This relies on soaxelbrooke/phrase for phrase extraction - check out its releases to get a relevant binary.