Stefan
Kienzler

Pega offers a powerful text extraction method for analyzing email content and categorizing text data. Text extraction enables the identification of named entities in text data and their assignment to predefined categories, such as organizations, locations, people, quantities, or values. By leveraging the machine learning capabilities of the Pega platform, entity extraction models can be created that are capable of recognizing named entities.

Pega offers various text categorization features that enable you to analyze the content of an email and assign it to categories. By using the text categorization feature, you can efficiently analyze large volumes of data and assign them to predefined categories.

Pega offers flexible text processing that helps you understand customer interactions. You can analyze emails and other inputs to extract key insights from large volumes of data. We support multiple languages and channels, including email, social media, and chat. For details, see the latest Pega documentation.