en_text_cleaner
OfficialStreamline English text cleaning for research documents.
Data & Analytics#data preparation#text cleaning#spelling correction#English text#abbreviation expansion
Authorcas-bigdatalab
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the need for efficient text cleaning and normalization in English research documents, providing a streamlined process for data preparation.
Core Features & Use Cases
- Text Cleaning: Expand abbreviations, correct common spelling errors, and optionally normalize case.
- Use Case: Ideal for researchers and data analysts who need to clean and prepare English text data from research papers or lab notes for further analysis.
Quick Start
Run the en_text_cleaner skill on your research data with the command: en_text_cleaner --input research_data.jsonl --output cleaned_data.jsonl
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 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: en_text_cleaner Download link: https://github.com/cas-bigdatalab/piflow/archive/main.zip#en-text-cleaner Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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