# nlp-toolkit

> nlp-toolkit — raghulpasupathi-nlp-toolkit. Use this tool when you need to analyze and understand complex text data, as it provides advanced NLP capabilities, including perplexity scoring, burstiness analysis, and entropy calculation, to solve problems such as language modeling, text classification, and information retrieval. It takes in text inputs and outputs quantitative metrics, enabling informed decisions in applications like sentiment analysis and topic modeling. Ideal for use cases where nuanced language understanding is crucial, such as chatbots, language translation, and content generation.

Canonical page: https://skillsregistry.net/skills/raghulpasupathi-nlp-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/raghulpasupathi-nlp-toolkit

## Description

Advanced NLP with perplexity scoring, burstiness analysis, and entropy calculation.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-22

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/raghulpasupathi-nlp-toolkit)

## 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": "raghulpasupathi-nlp-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/raghulpasupathi-nlp-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/raghulpasupathi-nlp-toolkit/pull`

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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