# Oyemi

> Use this tool when you need to analyze text sentiment, map words to semantic codes, or measure semantic similarity. Oyemi provides a range of natural language processing capabilities, including encoding words, analyzing valence, and finding synonyms and antonyms, using a vast lexicon database of over 145,000 words. It accepts text inputs and outputs semantic codes, sentiment scores, and similarity measures, making it ideal for applications requiring nuanced language understanding.

Canonical page: https://skillsregistry.net/skills/osseni94-oyemi  
JSON: https://api.skillsregistry.net/v1/skills/osseni94-oyemi

## Description

Provides deterministic word-to-code mapping and sentiment analysis using the Oyemi semantic lexicon database of 145,014 words. Offers tools for encoding words to semantic codes, analyzing text valence, measuring semantic similarity, finding synonyms and antonyms, and batch processing vocabulary. Each word maps to a code encoding part-of-speech, abstractness level, and valence orientation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/osseni94-oyemi)
- **Repository:** <https://github.com/osseni94/oyemi-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "osseni94-oyemi"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/osseni94-oyemi` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/osseni94-oyemi/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt