Natural Language Processing

Named Entity Recognition

Named Entity Recognition (NER) concentrates on picking out which items in a text ("named entities") will also be located and categorised into pre-outlined categories. These classes can variety from the names of people, group, locations to financial values and percentages.

Simply take a appear on the following example:

Earlier than NER: "Kevin bought 300 shares of SAP in 2016."

After NER: "[Kevin]Person bought 300 shares of [SAP]Organization in [2016]Time."

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