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Exploring text analyzers

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Text analyzers for Pega Intelligent Virtual Assistant™ (IVA) and Pega Email Bot™ process user input and help the system find the best matching response by using natural language processing (NLP) and adaptive analytics. You can configure text analyzers to detect topics, entities, sentiment, and language in an email, chat text message, or a voice command.

Text analyzer types

A Pega Platform application supports multiple text analyzers for IVAs and an email bots:

Exact match
The default simple text analyzer that exactly matches user input to a response.
Pega NLP
An advanced text analyzer that determines the best approximate match by using advanced natural language processing (NLP) and artificial intelligence.
iNLP
An advanced intelligent NLP text analyzer that uses adaptive analysis.

Text analytics model

Text analytics models provide algorithms, NLP, adaptive analysis, and artificial intelligence. To ensure that the text analyzer correctly detects a topic, entity, sentiment, or language, you first train the email bot or the IVA using the data, and then apply the changes to the text analytics model. For more information, see Training the model for the Email channel.

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