Location Insights AI Model

Articles

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How are LI Models Trained?

Sprinklr starts to build the model by collecting unclassified raw data from various channels. The raw data is then segregated into unsupervised clusters. These clusters are used to identify the key categories of conversation which leads to the taxonomy creation. Unclassified mentions are annotated a

Knowledge Base Article

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Location Insights AI Model

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Out-of-the-box LI Models

Location Insights NLP (Natural Language Processing) models are available for various industries in multiple languages. These industry-specific models are trained with industry-specific data sets for accuracy and recall of more than 80% for all models and languages.IndustryModel NameTaxonomyAutomotiv

Knowledge Base Article

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Location Insights AI Model

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Language support for LI Models

Refer to the following table for information on various industry-specific AI models available in Location Insights and their corresponding languages.IndustryModel NameEngine IDLanguagesAutomotiveAutomobileliAutomobilede,en,es,fr,it,ptDentistryDentalliDentalenGenericGenericliGenericde,en,es,fr,it,pt,

Knowledge Base Article

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Location Insights AI Model

Getting Started with Sprinklr Insights

Reference Guide for Sprinklr Insights

Sprinklr Insights Glossary

Customer Feedback Management

Social Listening

Media Monitoring & Analytics

Product Insights

Location Insights

FAQs

What is Location Insights?

Business Location Configuration

Advanced Concepts

Metrics & Dimensions

Getting Started

Sources

Dashboards

Location Insights AI Model

Competitor Benchmarking

User Roles and Permissions

Audience Insights

Competitive Insights & Benchmarking

Visual Insights

Conversation Insights

AI Studio

Alerts

Reporting & Analytics

Data Sources & Channels

Sprinklr AI+