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How the Scoring Engine Works
The Unicode EVSE provides evidence-based evaluation of emoji proposals using a weighted scoring model derived from the Unicode Consortium's published selection criteria and academic research in computational linguistics.
Democratize the emoji proposal process by giving creators data-driven feedback before formal submission.
Seven weighted factors modeled after Unicode Technical Standard #51 and published emoji selection criteria.
Emoji enthusiasts, linguists, designers, community advocates, and anyone with an emoji idea.
Scoring Factors
Expected Usage (Demand)
Frequency and breadth of anticipated use across platforms. High search volume, petition signatures, social media requests, and evidence of existing workaround usage.
Cross-cultural Universality
Whether the concept is understood across cultures and languages. Measured by global recognition, language independence, and cultural neutrality.
Semantic Gap
The degree to which the concept cannot be expressed by existing emoji or combinations. A high gap means no current emoji covers this meaning.
Longevity & Stability
Likelihood the emoji will remain relevant over time. Timeless concepts score high; fads and memes score low.
Visual Distinctiveness
Can the concept be rendered as a distinct, recognizable glyph at small sizes (18x18px)? Uniqueness from existing emoji at a glance.
Inclusivity & Neutrality
Freedom from commercial branding, political/religious bias, and potential for offensive interpretations across cultures.
Proposal Completeness
Quality and thoroughness of the proposal documentation including images, naming, descriptions, and supporting evidence.
Quality Tiers
Highly viable for Unicode submission
Strong candidate with minor improvements
Promising but needs strengthening
Significant gaps to address
Major revisions recommended
Technical Architecture
- Framework
- Next.js 16 (App Router)
- UI Library
- shadcn/ui + Tailwind CSS
- Charts
- Recharts (Radar)
- Emoji Data
- Unicode emoji-test.txt + emoji-api.com fallback
- Validation
- Zod schema validation
- State
- SWR for client-side caching
- Scoring
- Weighted heuristic engine
- Deployment
- Vercel Edge Network
Team & Contributors
Creator & Lead Developer
Publisher & Network
The *.platphormnews.com network hosts Emoji Score and operates the PlatPhorm MCP Registry, enabling AI agents to discover and invoke API tools automatically.
Want to contribute? Open an issue or PR on GitHub. Contributions to emoji data, scoring improvements, and i18n translations are welcome.
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