Context Recognition

Table of contents


Description

Allows you to define the topic of the content.

Work is possible only with English-language content

How to add an action to a project?

Via context menu Add Action -> Content Analysis -> Context Recognition

Or use smart search .

What is it used for?

  • Determination of the subject of the text

  • Filter sites by topic for link placement

  • Content parsing

  • Definition of text according to specified criteria

How to work with an action?

If you need to determine the subject matter of the text outside the project, then use the Context Recognition tool.

  1. A field for entering text or a variable.

  2. Topics:
    a) General - about 20 general topics.
    b) Detailed - narrower text directions, about 250.

  3. You can use a variable to set the maximum number of topics that the analyzer should return.

  4. The minimum relevance of the text is from 0 to 100%, you can use a variable.

  5. Variable for the result.

All topics matching the criteria will be placed in a variable with a separator β€œ ; "

Parse the text from the main page of the site and identify at least three topics.

Parse the main article from the main page of the site into the text variable. In order not to search for text on the page yourself, use the function of highlighting the main text on the web page. You can find it in the Select Article Extraction action.

Since the site has many topics, we indicate a low percentage of relevance.

After the action is executed, the result goes into the tematiki variable.

Topics are indicated with a separator β€œ ; "


Usage example

Contex Recognition is popular with SEO professionals. One of the most common uses is to determine the subject of sites for linking.

Instead of publishing your links on all resources in a row and risking getting banned from search systems, you can first determine the topic of the text of the page on which you want to link. If the text does not fit the theme of your site, then you should not leave links there. Similarly, you can check the thematicity of all outbound links on your site.

Let's say you have a posting linkbase. With Context Recognition, you can split your database into multiple databases based on context. Then, when you need to advertise the site, you will not take a complete base, but the one that corresponds to the subject of the site. You will be able to post an article about car insurance on an automotive blog, rather than on a blog that publishes new movie announcements.

You can parse a site (like a blog) and find pages that best match your ad topic. Leaving relevant comments and posts, you will not only get thematic links, but a greater chance of being moderated, which is very important on quality resources.


  1. Context recognition

  2. Article Extraction

  3. Content creation

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