Tag Extractor
Professional SEO keyword and meta tag analysis tool with keyword density metrics, competitor comparison, and hashtag generation for content creators.
| Keyword | Count | Density | Relevance |
|---|
About
In contemporary search engine optimization, the semantic density of terms determines the relevance of a document to a specific query. This tool facilitates the extraction of significant lexical entities from raw text or live URLs. It operates by filtering out noise through a comprehensive stop-word dictionary and calculating the Keyword Density which is critical for avoiding keyword stuffing penalties. Professionals use this data to identify core topics, audit competitor strategies, and ensure content alignment with search intent.
Accuracy is maintained by tokenizing strings into atomic units and normalizing them to their base form. This prevents the inflation of metrics due to capitalization or punctuation variance. For URL-based extraction, the tool retrieves the Document Object Model (DOM) to parse meta headers, providing a direct view into the hidden architectural signals sent to search engine crawlers. The inclusion of hashtag generation ensures that the transition from long-form content to social distribution is mathematically consistent with the underlying themes.
Formulas
The tool calculates the significance of a keyword using the Term Frequency (TF) model normalized against the total word count (Wtotal).
Where:
- k = The specific keyword being analyzed.
- Count(k) = Number of occurrences of the term.
- Wtotal = Total word count excluding excluded stop-words.
Reference Data
| Metric Type | Threshold | Interpretation |
|---|---|---|
| Primary Density | 1.0 − 2.5% | Optimal for main ranking keywords. |
| Secondary Density | 0.5 − 1.0% | Ideal for LSI (Latent Semantic Indexing) terms. |
| Stop Word Ratio | < 40% | Indicates high information density in text. |
| H1 Tag Presence | 1 | Critical for document hierarchy. |
| Description Length | 150 − 160 chars | Standard snippet length for SERP display. |
| Keyword Count | 10 − 20 | Recommended focus terms per page. |