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MeaningCloud Solves the Most Wicked Text Categorization Problems with the Release of a New Semantic Tool

MeaningCloud has released a new customization tool for its semantic analysis APIs that enables the development of custom categorization models in complex scenarios, in which a great deal of precision is needed to discriminate among the categories or adequate training texts are not readily available.


News provided by

MeaningCloud LLC

Jun 10, 2019, 12:00 ET

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NEW YORK, June 10, 2019 /PRNewswire-PRWeb/ -- MeaningCloud, a leading company in text analytics and deep semantic analysis, today announced the launch of a Personalization Tool for its Deep Categorization API, which allows the most accurate categorization models to be developed in the most agile way.

In the real world, the problems of text categorization can be extraordinarily complex: poorly defined or evolving categories, where great precision is required to discriminate among them, where there is a lack of adequate corpus that can be used as training material or where the context in general is very dynamic. In these scenarios, tools based on pure machine learning suffer limitations in terms of training possibilities, accuracy and ease of evolution.

"Our new tool for the development of text classifiers based on insight detection allows us to deal with dynamic scenarios where high precision requirements or the lack of training text create difficulties for machine learning technologies", said Jose Gonzalez, CEO of MeaningCloud

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The new Deep Categorization Customization Tool takes advantage of the understanding of the meaning of the text itself and uses a high-level semantic rule language that incorporates functions such as lemmatization, syntactic and semantic categories, powerful operators, etc. This model creates the possibility for an agile categorization development process, in which an iterative and incremental refinement of the categories allows the maximum accuracy in dynamic environments to be reached.

The detailed linguistic analysis and understanding of a text's meaning allow these systems to learn faster and perform better. Likewise, it is possible to complement approaches based on machine learning with this powerful semantic technology to combine maximum developmental speeds with a fast convergence towards the highest quality.
Find out more information about MeaningCloud's Deep Categorization Customization Tool here.

And if you want to learn how to apply this tool to solve your most complex text categorization problems, register to this webinar that will take place on Wednesday, June 19th (English ed.) and Tuesday, June 18th (Spanish ed.).

About MeaningCloud
MeaningCloud is the easiest and most powerful and affordable way to extract the meaning of any kind of unstructured content, from social conversations to internal files. Its text analytics functions can be graphically customized to each specific domain to obtain unparalleled accuracy, enabling to embed semantic analysis into any applications without risk through its pay-per-use web-based APIs. MeaningCloud's solutions can be delivered both in SaaS mode and on-premises, and have been deployed by leading organizations such as Pfizer, The World Bank, Telefónica, Le Parisien, or Vocento.

For more information visit http://www.meaningcloud.com, or follow us on Twitter at @MeaningCloud.

SOURCE MeaningCloud LLC

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