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Serpstat Text Analytics Tool
A detailed content analysis of your site and your closest competitors sites for a breakdown of analyzed pages optimization.
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What is Text Analytics and how does it help in content site optimization?

Why is text analysis necessary?

1. Task generation for copywriters based on the text analysis of top-10 competitors.
2. Analyze the textual factor of your page's ranking and expansion of the semantic core.
3. Analysis of the important keywords in the topic and getting a list of LSI-words (words that define the subject).
What are the benefits of Serpstat’s Text Analytics?
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Semantic Groups
We carefully select the subject of the site pages on the basis of which the recommended Text Analytics base is building. Other services just collect words from all thematic groups at once, without filtering them
Recommendation Base
We select words for the recommendation base qualitatively, using our own algorithm, that takes only important words for the topic. You won’t find in the recommendations to add prepositions, unions and other irrelevant garbage.
Term Frequency

We don’t recommend a specific amount of words to use and their forms, we analyze the entire lexeme. We control the text oversampling and advise you to reduce the frequency of the same words in the text.

Length of Text

We don’t recommend a specific text length, we recommend an acceptable range of lengths. We analyze the full text and find missing words in the text that competitors have in the top and that influence the ranking.

Visualization and Infographics

We show the relevancy of search requests to your text not just in numbers, but using visualization that shows where in a competitor’s range of relevance is your text.

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How to set up text analytics?

1. Run the clustering project
2. Select the finished cluster
3. Get results
Read more on Serpstat’s blog

1. Run the clustering project

2. Select the finished cluster

3. Get results

Read more on Serpstat’s blog
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