Search Engines' Approach to Finding Stop Words in Text

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Every day, a huge number of pages are added to search engine databases. To save space, search engines do not take into account some words, numbers, single pronouns, and some letters. They are specially marked, and robots "don't notice" them.

Using keywords to search for information significantly increases the list of stop words. A new term, "noise" words, has appeared, introduced into circulation by programmers.

What does "stop words in text" mean for buy a motorcycle owner mailing list a search algorithm?

Noise (the same stop words) are words (symbols, signs) that, when separated from the rest of the text, have no meaning. Search engines “don’t see” them when indexing or ranking websites. However, without them, the text loses its integrity and readability.

Content without stop words will be incomplete, neither readers nor search engines will be able to perceive it normally. Stop words in the text make it possible to organically fill it with key phrases, use prepositions and punctuation marks to combine words that do not agree with each other.

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Each search engine (like Yandex or Google) has its own list of noise words, which are constantly updated. It is impossible to list them all.

But you can see that there are two main groups into which all stop words are divided: general and dependent.

General : conjunctions, pronouns, particles, prepositions, adverbs, introductory words, single-digit numbers. Also common function words, symbols, punctuation marks, independent parts of speech. Not long ago, this list included frequently encountered sets of symbols from the Internet, such as www, http, com.

Dependent : those that the keywords define as words of secondary meaning.

Stop words in the text, related to the second category, depend on the phrase entered into the search engine. The idea is that in the found document the absence of ordinary words and dependent stop words (from the query phrase) is taken into account differently.

If you enter "Lev Nikolaevich Tolstoy" into a search engine, then the user will most likely be interested in documents that contain:

Tolstoy, Leo, Nikolaevich;

Tolstoy, Leo;

Nikolaevich, Tolstoy;

Tolstoy.

And there is no point in showing pages where you can only find:

Lev, Nikolaevich;

Lion;

Nikolaevich.

The noise words in this query are Lev and Nikolaevich.

During the indexing process, search robots remove the above noise words from texts and key phrases (when determining whether a document is suitable for a given request). The program puts special symbols, so-called markers, in their place.

This procedure reduces the load on the server, reduces the size of the index, and allows for the rational use of database space. Stop words in the query text are also removed in order to reduce the number of operations to search for each component of the key phrase. And this, in turn, increases the speed and efficiency of searching for the necessary data and allows for maintaining the relevance of the query.