Using InterSystems Natural Language Processing (NLP) Text Analytics (Natural Language Processing) Try it Read all about it Explore more Conceptual Overview A Simple Use Case What is NLP? Logical Text Units Identified by NLP Smart Indexing Smart Matching NLP Implementation A Note on Program Examples A Note on %Persistent Object Methods A Note on %iKnow and %SYSTEM.iKnow Space Requirements and NLP Globals Input Data Output Structures Constants Error Codes Domain Architect Accessing Architect Creating a Domain Model Elements Save, Compile, and Build Domain Explorer Introduction Domain Explorer Settings Listing All Concepts Analyzing a Specified Entity Limiting the Sources to Analyze Indexing Results Introduction Domain Data Manual input Data Indexed Sentences Concepts and CRCs REST Interface Swagger REST Operations Creating an NLP Environment Manually NLP Domains InterSystems NLP Configurations InterSystems NLP User Dictionary Loading Text Data Programmatically Loader Lister Listing and Loading Examples Updating the Domain Contents Loading a Virtual Source Copying and Re-indexing Loaded Source Data Performance Considerations when Loading Texts NLP Queries Types of Queries Queries Described in this Chapter Query Method Parameters Counting Sources and Sentences Counting Entities Listing Top Entities CRC Queries Listing Similar Entities Listing Related Entities Counting Paths Listing Similar Sources Summarizing a Source Querying a Subset of the Sources Semantic Attributes How Attributes Work: Marker Terms and Attribute Expansion Access Attribute Data Supported Attributes Negation Time, Duration, and Frequency Measurement Sentiment Certainty Generic Attributes Stemming Configuring Stemming Stem Retrieval Methods Using Stems Skiplists Creating a Skiplist Queries that Support Skiplists Filtering Sources Supported Filters Filtering by the ID of the Source Filtering a Random Selection of Sources Filtering by Number of Sentences Filtering by Entity Match Filtering by Indexing Date Metadata Filtering by User-defined Metadata Filtering by SQL Query Filter Modes Using GroupFilter to Combine Multiple Filters Text Categorization Text Categorization Implementation Establishing a Training Set and a Test Set Building a Text Classifier Programmatically Testing a Text Classifier Building a Text Classifier Using the UI Using a Text Classifier Dominance and Proximity Semantic Dominance Semantic Proximity Custom Metrics Implementing Custom Metrics Types and Targets Copying Metrics Smart Matching: Creating a Dictionary Introducing Dictionary Structure and Matching Creating a Dictionary Listing and Copying Dictionaries Extending Dictionary Constructs Smart Matching: Using a Dictionary How Dictionary Matching Works Matching A String Matching Sources Defining a Matching Profile User Interfaces How to Display NLP User Interfaces Abstract Portal Abstract Source Viewer Loading Wizard Domain Explorer Basic Portal Indexing Results Matching Results InterSystems IRIS Natural Language Processing (NLP) Tools NLP Shell Interface NLP Data Upgrade Utility iKnow Web Services Available Web Services Using an NLP Web Service Comparison of NLP Web Services with Primary NLP APIs See Also KPIs and Dashboards KPI Terminology Defining a KPI That Uses Text Analytics Query Available KPI Filters Overriding the KPI Properties Example Creating a Dashboard to Display the KPI Providing Access to Dashboards See Also Customizing NLP Custom Lister Custom Processor Custom Converter Language Identification Configuring Automatic Language Identification Using Automatic Language Identification Overriding Automatic Language Identification Language-Specific Issues Domain Parameters
