Keyword Extraction Explorer Tool
Extract the most important keywords and phrases from your text using various algorithms! This tool uses modern keyword extraction methods including YAKE, TF-IDF, RAKE, and TextRank for comprehensive analysis.
How to use:
- 📝 Enter your text in the text area below
- 🎯 Select a model from the dropdown for keyword extraction
- ⚙️ Adjust parameters (number of keywords, n-gram range)
- 🔍 Click "Extract Keywords" to see results with organized output
💡 Top tip: Different models excel at different types of texts - experiment to find the best one for your content!
🎯 Select Keyword Extraction Model
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💡 Top tip: N-grams are sequences of words. Set Min=1, Max=3 to extract single words, phrases of 2 words, and phrases of 3 words. Higher values capture longer phrases but may reduce precision.
ℹ️ Model Descriptions
- YAKE:
- Statistical approach requiring no training - works well on short texts and multilingual content
- TF-IDF with Cosine Similarity:
- Document similarity approach - extracts keywords most similar to the overall document
- RAKE-NLTK:
- Classic keyword extraction algorithm - fast and reliable for phrase extraction
- TextRank:
- Graph-based ranking algorithm inspired by PageRank - good for extracting key concepts
📋 Detailed Results
Examples
| 📝 Text to Analyse | 🎯 Select Keyword Extraction Model | 📊 Number of Keywords | Min N-gram | Max N-gram |
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📚 Model Information & Documentation
Learn more about the algorithms used in this tool:
This Keyword Extraction Explorer Tool was created as part of the Digital Scholarship at Oxford (DiSc) funded research project: Extracting Keywords from Crowdsourced Collections.
The code for this tool was built with the aid of Claude Opus 4.