yet another keyword extractor

A keyword extraction tool that identifies important terms and phrases from text for writers, marketers, and SEO specialists to guide content strategy.

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About This Tool

This tool analyzes input text to identify and rank keywords and phrases using unigram and multiword extraction. It supports language detection and customizable stopwords, delivering scores that reflect relevance for SEO and content planning. It uses a TF-IDF-inspired weighting scheme and phrase cohesion metrics to generate both unigrams and 2–3 word phrases. The result helps writers and marketers prioritize topics, optimize pages, and discover gaps in coverage. The system is designed for reproducibility across large corpora and supports language-specific tokenization and configurable thresholds. It is particularly useful for competitive analysis, topic modeling, and on-page optimization workflows. By adjusting min_term_frequency, max_keywords, and phrase options, users tune precision vs. recall to fit project goals. The tool can be integrated into editorial processes, briefing templates, and SEO audits to streamline keyword research and align content with user intent.

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How to Use

Provide inputs: paste the text to analyze and select language if known.
Configure options: set max_keywords, enable phrase extraction, and supply any custom stopwords.
Run extraction: execute the calculation to generate ranked terms.
Review outputs: examine top keywords and phrases with scores and types (unigram or phrase).
Export results: copy, download JSON/CSV, or paste into reports.

Frequently Asked Questions

Find Quick Answers

What does the tool output?

The tool returns a ranked list of terms with associated scores and a type indicator (unigram or phrase). Each item represents a meaningful keyword or keyword phrase extracted from the input text, suitable for SEO briefs and topic planning.

Can I control language and stopwords?

Yes. You can specify a language code or rely on automatic detection, and you can provide a custom stopword list. Stopwords are excluded from scoring to improve signal quality for domain-specific terms.

What is the difference between unigram and phrase extraction?

Unigrams are single words, while phrases are 2–3 word sequences. Both are scored for relevance; phrases capture multi-word concepts, which often map to user intent and SEO topics. Users can enable or disable phrase extraction as needed.

What are typical use cases?

Use cases include SEO keyword planning, content topic discovery, competitive analysis, and editorial brief creation. The tool helps quickly surface high-potential terms and gaps to inform content strategy and optimization efforts.

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