beyond the names - A social trend analysis of name themes
summary
Uses Israeli Central Bureau of Statistics and a public registry of given names, calls to OpenAI via Python and scraping of common name sites to build a two‑level taxonomy and per-name vector relevance scoring. Normalizes yearly counts for population growth, groups names by themes (religious, nature, ethnically linked) and tracks trends: Soviet-origin names collapse after 1990, nature names plateau since the 1970s, religious-subtype mixes shift. Pipeline requires 10% manual corrections to empty or wrong vectors before analysis.
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chapters (12)
- 0:00Introduction
- 1:05Name meanings and social trends
- 3:22Name taxonomy creation
- 6:01Name data processing in Israel
- 8:39Normalization and trend analysis
- 9:22Ethnic name trends in Israel
- 10:26Religious names and political shifts
- 11:30Nature names and social change
- 12:14Muslim names in Israel
- 12:37AI mistake lessons
- 14:04AI work tips
- 15:09Summary
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