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Artificial Intelligence: Text Analytics and Natural Language Processing


Natural Language Processing and Text analytics holds the key to unlocking the business worth among these huge data sets. They are step by step transforming into a field very useful for numerous business applications, like competitive analysis, and raising the standard of machine intelligence systems. Text Analytics or text mining, its a broad term that describes tasks from elucidation text sources with meta information such as people and places mentioned in the text to a large range of varying models regarding the documents.

There has been a large growth inside the volume and various kinds of data/information as a result of the build-up of unstructured text data/information. Industries/Companies are now relying on technologies like text analytics and NLP for creating sense of such massively collected data. Text analytics and NLP hold the key to unlocking the business price/value within these vast information sets.

Natural Language Processing a subset of Artificial Intelligence involved with creating language accessible to machines and addresses tasks like characteristic sentence boundaries in documents, extracting relationships from documents, and searching and looking out of documents, among others. Text Analytics also referred as text mining, is the method of examining large collections of written resources to generate new data/information, and helps in transformation of unstructured data in to structured and it can be useful in further analysis. It identifies assertions, facts, and relationships that would otherwise remain buried in the mass of textual big data.

NLP systems can be also used in hospitals and for indicating a specific diagnosis from a physician’s unstructured notes. For example, NLP software can be used for mammographic imaging and analysis of data for clinical decisions. Natural language processing in AI applications makes it easy to collect product reviews from a website. This helps in understanding the actual sentiments of the customer. Companies that gather a large volume of reviews can actually understand these sentiments and use this information to recommend new products or services.

Comments

  1. Anonymous31 July 2019 at 03:43

    Significance Of Ai Datasets. How Gts Can Provide Good Quality Of Ai Datasets For Ml Models? “Artificial Intelligence”: The Maximum Mentioned Topic Of The 12 Months With Globalization And Industrialization We Want To Automate The Strategies So That Performance Can Be Increased Inside The Average Perspective For Which We're Using The New Concept Which Has Emerged Called Artificial Intelligence

    ReplyDelete
  2. Amelie Parker7 January 2020 at 22:52

    Amazing blog. NLP is a field that won’t die. There is much evolving things in text analytics and nlp
     but it’s just a beginning.

    ReplyDelete

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