Semantic analysis of the text is the basis of the quality of the article

A qualitative article is not just a literate and unique text, consistent in a single style, it needs to be optimized for indexing by search engines. And also a really good text should be easy to read and allow the recipient to easily understand the essence of the problem.

It may seem to many that writing an article that perfectly meets all the above requirements is a matter of five minutes and does not require much effort. But the reality is that most beginning journalists and copywriters have to work hard to achieve a good result. The crux of the problem lies in the fact that only the article that has undergone a deep semantic analysis can be called qualitative. This concept includes the comparison of the presence of a certain list of indicators with acceptable standards. If the indicators do not exceed the permissible limit, the article can be considered successful.

The first indicator is the so-called "water". This concept includes that part of the text that does not touch the essence of the issue or problem raised in the article and does not bear any special semantic load. The maximum limit of "water" in the text is 40%, otherwise it will be simply uninteresting and meaningless. But, naturally, without it, you can not do without it, otherwise you risk getting a dry and complex text. However, there are copywriters who deliberately seek such dryness to give the text of authority and scientific character.

The semantic analysis of the text also includes such a thing as "stop words". This category includes alliances, prepositions and other word-bundles, which are not recognized and are not perceived by search robots. At work it is necessary to consider that "stop words" are necessary, but their quantity should be no more than 5% of the content of the article.

The main indicator in the analysis of the text is his "nausea". It must necessarily be abandoned, since such articles look illiterate and unreadable. The real reader is literally able to get unpleasant impressions from the text literally from the first sentences. This indicator includes a tautology, which is strikingly striking. Within the limits of the norm the indicator of "nausea" of the text should not exceed 10%.

For real copywriters, semantic analysis of keywords is also important . They are the basis of any optimization and are simply necessary for the promotion of sites with the help of articles. In modern search engines there is already a special kind of search - semantic. It is a technology designed to determine what the user wants to say when entering certain words in the search bar. The basis for the semantic search system is the meaning of the words themselves.

This technology determines how the words in your query are related, and also takes into account their location and other parameters.

Consider a small example: you used the search system from your smartphone in search of a service. Semantic analysis of the word, which is key in your query, allows you to determine your approximate location and produce results that are right for you, based on the data received.

There is also such a thing as a semantic core. It includes the analysis of the task and the creation of so-called "query masks", that is, a list of phrases that will be used to advance the project. When creating a "query mask" it is necessary to perform a semantic analysis of the main words directly related to the topic of the article being promoted and to list the synonymous and general phrases.

After that for each individual "mask" it is necessary to select mid-frequency and low-frequency queries. It is also necessary to take into account jargons and borrowings from other languages, which allows you to maximize the number of possible key phrases. Lexical-semantic analysis of the word in this case will be especially useful, since the breakdown of the word into components contributes to the search for single-root or similar words, which can also be used in the semantic kernel.

The last step is the removal from the list of too rare and non-targeted requests.