TF-IDF: Scientific Onpage SEO
Text Tools is a content optimization app based on a formular known as TF-IDF and WDF-IDF that calculates the quality of a body of text – such as on a webpage.
Scientific Tool Optimizes Your Content
By analyzing a chosen keyword and the text you want to rank for it, Text Tools generates a detailed report of semantically related terms used in the highest-ranking webpages in search results for that keyword!
Create Targeted Content For Your Niche
This semantic analysis suggests the best terms to include in your text, and how your competitors compare. You can analyze as many different keywords and texts as you want – uncovering more and more ways to improve your content and send highly-targeted traffic to your site.
Analyze Your Market And Competitors
Gain insights into how high-ranking competitors achieve their results by scientifically comparing their content to yours.
Get Better, More Stable Search Rankings
Increase the relevance of website content, and to make that content more discoverable to search engines.
TF-IDF
We measure the importance or weight of your terms or keywords. Think about this as Keyword Density 2.0. It is done by comparing your term against a larger set of documents using a better variation of the TFIDF formular, so we can find important terms.
Synonyms and Close Variants
If you want to rank for “dog pics”, adding terms like “dog photos”, “puppy pictures”, “pictures dog” and “dog photo” to your text might result in better rankings. We give you all the important synonyms to include!
Co-occurrences
If you target “how to play texas holdem”, Search Engines expect the occurrence of related terms like “strategy”, “community cards”, “players”, “table”, hand”. We tell you which related terms are important for your targeted keyword and beneficial to include as well.
Testimonials
Improve your Onpage SEO by creating great content every user and search engine will love. Our easy-to-use optimization tool provides a clear, detailed analysis of your website content and how to improve it. With our analysis, you will find keywords and terms related to your content & you get ideas which topics and phrases are still missing. Uncover a host of new topics and ideal keywords for your target market – and attract more visitors to your site.
Find sematically related searches with our build-in keyword tool.
Save money with Text Tools today! Your business needs consistent, targeted traffic to succeed online. Optimizing your content with Text Tools is a proven way to generate that traffic.
- 3 Day Pass3 Day Semantic Analysis
- $9.97one time fee for 3 days
- WDF-IDF / TF-IDF semantic analysis
- Analyze Top Results
- Standard Queue
- NON-recurring
- ProfessionalProfessional Semantic Analysis
- $37per month
- WDF-IDF / TF-IDF semantic analysis
- Analyze Top Results
- Standard Queue
- Analyse your texts or competing websites
- PremiumPremium Semantic Analysis
- $67per month
- WDF-IDF / TF-IDF semantic analysis
- Analyze Top Results
- Priority Queue
- Analyse your texts or competing websites
It’s so simple to improve your content & get better results:
Submit Analysis Job
Provide us with your keyword (search term) and specify language & target country
Wait a Couple of Minutes
Grab a coffee as we gather the data and perform heavy computations.
Analyze Charts
Analyze your competition and gain valuable insights on how to improve your content.
Live, on-page analysis can show your results before you even publish your text.
Get suggestions which phrases you should add to your text to make it more competitive.
Try our risk free service, cancel any time.
Technology
The Text Tools formula and how it boosts your search results.
SEMANTIC ANALYSIS
Text Tools is a content optimization app based on a scientific formula known as WDF*IDF (or TF-IDF) that calculates the quality of a body of text – such as on a webpage.
The formula has been used successfully by top SEO’s and marketers in around the globe to increase the relevance of website content, and to make that content more discoverable to search engines.
A lot of people are using Latent Semantic Indexing (LSI),TF-IDF or Google Suggest interchangeably. To analyze the data, we are using a derivate and more accurate Formular of the TF-IDF formular: WDF-IDF.
The analysis is actually not as innovative as the SEOs worldwide treat the topic. The origins of the analysis go back to the seventies, even though they naturally were not drawn for search engines or other rankings. However the formula and the calculation of terms on which the analysis is based dates back to the seventies.
WHAT IS THE WDF-IDF ANALYSIS
The WDF-IDF analysis consists of two components:
Within Document Frequency – WDF
WDF describes the term weighting within a document. The term stands for the keyword which appears in a certain frequency in the text. This principle could represent the customary keyword density, however, WDF at the same time operates with a correction value which then allows for a uniform reference to result. In addition WDF is limited by the
Inverse Document Frequency – IDF
This area of the analysis does not only concentrate on one single document but refers the weighting of a certain term in the collection of documents analyzed.
The entire principle is expressed in a formula which will, with the exception of mathematicians, probably confuse many people:
A more comprehensive explanation is available on www.wdf-idf.com.