Semantic text analysis istio
Estimates its saturation by keywords, water content, spam content. Please note: the analysis works correctly in English, German, Russian and Ukrainian.
The analysis of the semantic core of a text assesses its keyword density, water and spamming.
The Istio semantic text analysis evaluates keyword stuffing, water and spamming. Search engines determine the quality and relevance of a text by the words and phrases it contains.
If a text contains an appropriate number of relevant key phrases, search engines will evaluate it positively. Watery articles and ones with not enough keywords will not show on the first page of search results. Texts overstuffed with keywords are treated as spam, and search engines rarely show them.
What Semantic Text Analysis Reveals
SEO text analysis allows you to assess the percentage of keywords and the number of stopwords. The service shows:
- Keyword density and their ratio to the core of the text
- Number of words and symbols, with and without spaces
- Vocabulary, by the total number of entries and the core units
- Word density, indicating the top-10 most commonly used ones
- The text's language and approximate subject
The Istio semantic text analysis automatically counts the number of symbols and assesses the overstuffing and water. The service highlights the keywords and water and draws a user-friendly frequency chart.
Keyword Stuffing Check
The over-spamming index shows how overstuffed with keywords a text is. The more keywords, the higher the index. Search engines will evaluate such texts as poor in quality and not show them on the first page.
Insert the keywords in the Highlight Keywords field to assess their density, and the service will highlight them automatically.
The number of keywords and their ratio to the total text and to its core will show at the bottom of the page.
The Text Chart will show frequently repeated units for a visual assessment of their distribution in the text.
The water analysis reveals the quantity of stop-words, colloquial expressions and redundant constructions. Deleting those do not impair the content's meaning, enhancing its quality instead.
The service highlights redundant vocabulary used to magnify the meaning and words and phrases containing no specific information, recommending the highlighted units for deletion or replacement.
A certain amount of irrelevant content is natural, but it should be reduced to the minimum to produce a water-free high-quality text.
Number of Symbols and Keyword Density
The bottom of the page shows the number of symbols, with and without stop-words, and the density of particular units. The keyword density is shown in a separate field, indicating their ratio to the entire text and the relevant phrases.
To check a text for its water, keyword density and phrase frequency:
- Select the Text Analysis and insert it in the field
- Enter keywords in the List of Keywords, if necessary
- Click on Highlight Keywords to see their location in the text
- Select the Chart for the service to show the most frequently detected units in a large print
- Click on Watery to highlight irrelevant units
Istio is available for use without registration or authorisation and sets no limits on the number of symbols for checking.