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What is Natural Language Processing?

NLP is a field of computer science concerned with the interactions between computers and human (natural) languages. Natural language generation systems convert information from computer databases into readable human language. Natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate. Many problems within NLP apply to both generation and understanding; for example, a computer must be able to model morphology (the structure of words) in order to understand an English sentence, but a model of morphology is also needed for producing a grammatically correct English sentence.

NLP has significant overlap with the field of computational linguistics, and is often considered a sub-field of artificial intelligence. The term natural language is used to distinguish human languages (such as Spanish, Swahili or Swedish) from formal or computer languages (such as C++, Java or LISP). Although NLP may encompass both text and speech, work on speech processing has evolved into a separate field.

 

 
 

 

Self learning predictive analytics — Automatically learns from each interaction by autonomously updating its predictive models in real time

Time aware learning — Maintains a sliding time window that places greater emphasis on recent behavior, eliminating the need to reset models to clear out stale influences

Balanced rules-driven and model-driven decision-making — Enables a balance between user-defined business logic and predictive models based on empirical data