spacy-nltk
CommunityUnlock text insights with NLP.
Software Engineering#nlp#sentiment analysis#text analysis#corpus linguistics#spacy#nltk#named entity recognition
Authortondevrel
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill empowers you to process, analyze, and understand natural language text, enabling you to extract meaningful information and build sophisticated NLP applications.
Core Features & Use Cases
- Text Processing: Tokenize, lemmatize, and tag text for linguistic analysis.
- Named Entity Recognition (NER): Identify and categorize entities like people, organizations, and locations.
- Sentiment Analysis: Gauge the emotional tone of text using VADER.
- Corpus Linguistics: Analyze word frequencies, collocations, and vocabulary richness.
- Use Case: Analyze customer reviews to identify common complaints (entities) and gauge overall sentiment, informing product improvements.
Quick Start
Use the spacy-nltk skill to extract all named entities from the provided text.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: spacy-nltk Download link: https://github.com/tondevrel/scientific-agent-skills/archive/main.zip#spacy-nltk Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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