
Text Analytics
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High Quality Content by WIKIPEDIA articles! The term text analytics describes a set of linguistic, lexical, pattern recognition, extraction, tagging/structuring, visualization, and predictive techniques. The term also describes processes that apply these techniques, whether independently or in conjunction with query and analysis of fielded, numerical data, to solve business problems. These techniques and processes discover and present knowledge facts, business rules, and relationships that is otherwise locked in textual form, impenetrable to automated processing. A typical application is to sc...
High Quality Content by WIKIPEDIA articles! The term text analytics describes a set of linguistic, lexical, pattern recognition, extraction, tagging/structuring, visualization, and predictive techniques. The term also describes processes that apply these techniques, whether independently or in conjunction with query and analysis of fielded, numerical data, to solve business problems. These techniques and processes discover and present knowledge facts, business rules, and relationships that is otherwise locked in textual form, impenetrable to automated processing. A typical application is to scan a set of documents written in a natural language and either model the document set for predictive classification purposes or populate a database or search index with the information extracted. Current approaches to text analytics use natural language processing techniques that focus on specialized domains.