Exploring text analyzers
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.
- Dialogflow
- An advanced external NLP and entity extraction solution from Google. Using this text analyzer requires the installation of the Pega Dialogflow component in your application. For more information, see Installing the Dialogflow component.
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 data for the email bot or the IVA, and then apply the changes to the text analytics model. For more information, see Training data for the Email channel.