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as you know natural language processing helps computers communicate with humans in their own language and scales other language related tasks for example nlp makes it possible for computers to read text hear speech interpret it measure sentiment and determine which parts are important the ner is the form of nlp and it is one of the most data pre-processing tasks it involves the identification of key information in the text and classification into a set of predefined categories an entity is basically the thing that is consistently talked about or referred to in the text ner is the form of nlp deep learning ner is much more accurate than previous method as it is capable to assemble words this is due to the fact that it used a method called word embedding that is capable of understanding the semantic and syntactic relationship between various words it is also able to learn analyzers topic-specific as well as high-level words automatically this makes deep learning ner appli
