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Semantic Search

Semantic search is redefining search and how! Today, enterprise search tools are all based on semantic search in order to achieve higher relevancy and accuracy. This article takes a closer look into how it has changed our approach to search.
Semantic search is one concept that is all set to redefine search as we know it. Based on principles of Natural Language Processing and machine learning, it is indeed the future of search. This article looks into facts about semantic search that you should know.
Semantic search has made us rediscover a new way to search and modern enterprise search tools are driven by this technology for accurate and faster results that are most relevant to the users. This article explores how semantic search can benefit recruitment.
Could the advant of semantic search mean the end of Google as we know it? More importantly will Google have to embrace semantic search or perish? How the whole Semantic Web scenario plays out will pose some intriguing questions for the Internet of the very near future. Read more...
What is Semantic Search and how is it important to the modern enterprise? Enterprises today are seeking the help of semantics to redefine the search experience for their users. This article takes a closer look at the benefits of semantic search, along with a few examples.
Semantic search is redefining search, one query at a time, and it is what enterprises today need in order to fetch insights that help form important business decisions. This article talks about why your enterprise should harness the power of semantic search and how to go about it.
Semantic search is the future of enterprise search and is all set to revolutionize our interactions with the search platforms. This article looks into its benefits along with a few examples of new-age platforms that have successfully implemented it.
In the highly competitive times of today, enterprises need to leverage the enormous amounts of data, in order to gain an edge. This article delves into the concept of semantics and how semantic search platforms based on Artificial intelligence are a must-have for enterprises.
Latent semantic indexing adds an important step to the document indexing process.
Semantic is a field in language that deals with bringing out the meaning that is hidden in a text. With the advent in technology there has been a tool that has been used in the language labs that deals with the analysis job
Ever notice how Wikipedia tops Google rankings for just about every search you do? But how? It makes no sense if you consider the "standard SEO" rules for success such as keyword density, keyword weight, URL, and all that. It goes against the logic SEO experts use every day. So how does Wikipedia do it? They use Latent Semantic Indexing (LSI), which you can learn in minutes...
A decade after the invention of the World Wide Web, Tim Berners-Lee is promoting the "Semantic Web". The Internet hitherto is a repository of digital content. It has a rudimentary inventory system and very crude data location services.
Anyone with any expectations for their articles and web copy knows that Google's ranking algorithms change constantly, and this causes a great deal of frustration and concern, especially to those attempting to make a living on the internet.  Here is what you can do.
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Language labs have been of great help for the people who use social media to carry out business research and also marketing. Semantic analysis is what gives meaning to a whole text that may seem to be meaningless


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