TF-IDF stands for frequency-inverse document frequency used to measure the importance of a given keyword on a page. Unlike keyword density, it doesn't just look at the number of times the term is utilized on the page; it moreover analyzes a larger set of pages and tries to determine how vital this or that keyword is.
Say, in car repair, the term "tire repair" is likely to be more vital than "turbocharged engine repair" — essentially because each car has tires, and only a small number of cars have turbo engines. Because of that, the term "tire repair" is progressing to be utilized in a larger set of pages that speak about car repair.
This is exactly what the TF-IDF report in WebSite Audit will be able to catch!
Looking at keyword utilization stats of a huge number of your competitors, the TF-IDF formula is going to show you:
When to use TF-IDF analysis?
Why use the TF-IDF report?
Calculates content optimization factors. Also, analyzes how well your page is optimized for your target keywords.
Discovers the keywords and phrases that your top-ranking competitors are using
Find the words and phrases with Use less or Use more recommendations to see how you can tweak your copy to improve the relevance
How does the TF-IDF report work?
The TF-IDF report works on a specific formula where, term t in document d, the weight Wt,d of term t in document d is given by: Wt,d = TFt,d log (N/DFt)
HulkApps has all-in-one TF-IDF reporting services for Shopify, to help store owners, just like you, to extract the most descriptive terms in a document/website...
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