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.
- 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 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.
- Understanding text analysis
Text analysis is an important aspect of conversational channels that enables a Pega Platform application to intelligently and seamlessly interact with a user in a natural conversational manner. Text analyzers examine user input one by one using natural language processing (NLP), adaptive analytics, and artificial intelligence.
- Pega Email Bot overview
Pega Email Bot is a bot system that intelligently interacts with your application to help users with their problems and speed up business processes. Interacting with an email bot through emails, users can more efficiently address their concerns and resolve problems, for example, by requesting more information and opening a business case in the system.
- Pega Intelligent Virtual Assistant overview
Pega Intelligent Virtual Assistant (IVA) is a chatbot technology that interacts with an application by sending and receiving text messages from users, in a simple question and answer form. By interacting with an IVA through various social messaging platforms, users can resolve issues or address questions and other concerns. For example, to speed up business processes, users can request more details about a subject and open a case in the system.
- Conversational channels
Conversational channels help organizations reach additional users of their enterprise applications. With conversational channels, users can seamlessly interact with a Pega Platform application to obtain help, request a service, and report or solve an issue by using Facebook Messenger, an embedded chat window, Amazon Alexa, or email.