Examples of using Semantic in English and their translations into Vietnamese
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Colloquial
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Ecclesiastic
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Computer
With semantic meaning attached.
Talking about versions, please follow the Semantic Versioning Specification.
Google Semantic Search is provided by Knowledge Graph in many ways.
Otherwise, few people dare to read boring,monotonous and not bearing semantic loading of the text.
This is a semantic definition.
People also translate
That is why social mediaengagement should play a key role in your Semantic SEO efforts.
(X)HTML is a language semantic in nature, which is impossible to wrap up in the style of a framework.
In May 2012 Google introduced a Knowledge Graph semantic search feature in the U.S.
LSI, or Latent Semantic Indexing, is a technology Google uses to understand the relationships between words, concepts, and web pages.
The bad: The content still happens to contain semantic mistakes that the client keeps throwing in your face.
First, both should contain yourprimary keywords to help Google understand the semantic meaning of your page.
Intension denotes the semantic meaning of a word or phrase, while extensions denote the objects that this phrase can be attributed to.
When you have finished the story, go back through it and correct mechanical mistakes,as well as logical and semantic errors.
Talk about related concepts and be sure to use semantic words and similar phrases to broaden your reach.
In SEO we will see a bigger push towards mobile-first design andcopy aimed at targeting semantic strings.
LSI, or latent semantic indexing, is a technology that Google uses. to understand the relationship between words, concepts, and web pages.
If an attribute value is boolean false,serializers SHOULD omit the attribute entirely unless doing so changes the semantic meaning of the result.
Google is nowadays using stuff like latent semantic indexing, which means that they are not looking at keywords in the same manner they used to.
Dating techniques have established that the volumes originate from the era they would otherwise appear to,based on semantic and linguistic considerations.
The most popular is a phrase whose semantic implication lies in the perception of doing nothing and laziness as a kind of driving force for progress.
The XML layer with namespace andschema definitions make sure we can integrate the Semantic Web definitions with the other XML based standards.
The term“semantic Web” first gained prominence in a 2001 article by Berners-Lee and two coauthors, James Hendler and Ora Lassila, in Scientific American.
However, even with RankBrain, Google is not able to interpret meaning as a human would,and that is the Natural Language portion of the semantic definition.
Google and other search engines use Latent Semantic Indexing(LSI) to match search results to the intentions of the person performing the search.
NeuroGrammar™ uses its advanced neural-network artificial intelligence algorithms in order to analyse every noun phrase andverb phrase in every sentence for syntactic and semantic errors.
As we go in that direction, we have spent a long time as SEOs focusing on LSI,the Latent Semantic Indexing, and saying,“Well, we need to have a lot of text here.
The functionality of NLTK allows a lot of operations such as text tagging, classification, and tokenizing, name entities identification, building corpus tree that reveals inter and intra-sentence dependencies,stemming, semantic reasoning.
Google andother search engines have started using Latent Semantic Indexing(LSI) so that they can match up the search results with the intention of the person who is performing the search.
While there is some speculation that search engine algorithmswill place less importance on link popularity as the Semantic Web arrives, Google has recently confirmed that it still plays a big role.
You will need to use other means, like Article Insights,to help you find the semantic part of what Google and users expect to see in content related to any topic you write about.