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As a subset of AI, Natural Language Generation assists businesses in organising data for the desired outputs. It is required for the conversion of structured data and related conversions.
Natural language generation is a software process that translates data into intelligible, basic language. It is also a subset of AI. That is also why it is so sought after in the tech industry. The amount of data generated and kept grows as firms grow and undergo digital transformation. If properly utilised, this data can now be incredibly helpful to the company. However, transforming hidden concepts in data into a language tale can be a lengthy and time-consuming procedure. However, using Natural Language Generation, converting numbers in spreadsheets into tales and stories is a piece of cake.
What is Natural Language Generation?
NLG IS THE AREA OF AI IN WHICH NATURAL LANGUAGE IS DERIVED FROM STRUCTURED DATA, WITH MEANINGFUL PHRASES AND UNDERSTANDABLE SENTENCES.
Importance of Natural Language Generation
NLG is a well-known and important technology in the business world, where more and more firms are relying on the understanding of enormous datasets to provide valuable insights.
Types of Natural Language Generation
1) Transformer 2) Recurrent Neural Network 3) LSTM
