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Democratizing Artificial Intelligence with UiPath
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Many use cases that leverage ML models use some sort of classification. NER is the task of identifying and categorizing key information within texts. Example use cases include extracting and classifying text from emails, letters, web pages, or even transcripts. In this section, we'll discuss AI Center's NER models and discuss how to use the trainable NER model.
NER is a form of natural language processing (NLP) that is tasked to process and analyze natural text by detecting and categorizing entities within language. Examples of common entity categories include the following:
Having technology that can recognize these common entities can be extremely powerful when used with automation. UiPath's NER ML model can be used in many ways, as shown in Figure 11.5...