Text analyzer functionality
Text analyzers detect the following information categories:
- The general subject, an intent of an email, text message, or a voice command. An IVA or an email bot links all suggested cases and suggested responses to topics. For example, an email bot can determine that the topic of an email relates to a car insurance, and then open a car insurance business case.
- The text contains proper nouns that fall into a common category, for example, a person, location, date, organization, or ZIP code. You can configure the IVA or the email bot to automatically assign the entities that they detect to properties of a new business case.
- The opinion that a user expresses in an email, a chat text message, or a voice command: positive, neutral, or negative. An email bot can detect a negative sentiment of a user email, and then escalate the issue by automatically forwarding that information to a customer service representative.
- The language of an email, a chat text message, or a voice command. An email bot can detect the language of a user email, perform text analysis in that language by using NLP, and then automatically send a reply in this language to the user.
Text analysis in an email bot
Each text analyzer definition for an email bot supports advanced text analysis of email header, body, subject, and attachments, including image files. To perform text analysis of image-based file attachments, you use the Pega optical character recognition (OCR) component that you install from Pega Marketplace on premises.
With text analysis and intelligent email routing, an email bot interprets an email and determines how to correctly respond to a user. This functionality also improves the triage process by creating a correct business case with the help of the email topic.
To refine the text analysis capability for your email bot, you can define multiple text analyzers to serve the same or different purposes.
Text analysis in an IVA
A text analyzer that you define in an IVA provides advanced text analysis of user input, including text voice commands. Each text analyzer helps the system determine the best matching response by using NLP, adaptive analytics, and artificial intelligence. For more information, see Exploring text analyzers.
You can define multiple text analyzers for an IVA to serve the same or different purposes.