Lexalytics Transform Complex Text Documents into Data, Insights, & Value

What is Lexalytics?

Lexalytics provides robust text analytics and natural language processing (NLP) solutions designed to integrate advanced AI capabilities into various platforms and applications. With over 19 years of development, its feature-complete NLP stack transforms complex text documents into valuable data and insights. The platform offers flexible deployment options, including on-premise (Salience), cloud API (Semantria), and a complete storage and visualization solution (Spotlight), catering to diverse infrastructure needs.

Supporting 29 native languages and offering pre-built Industry Packs, Lexalytics delivers tailored analysis for sectors like hotels, restaurants, retail, pharma, and employee feedback. Users can further customize the system by defining entities, creating query topics, building taxonomies, and deploying custom machine learning models to address unique data challenges. This comprehensive approach enables businesses to understand social data, ensure regulatory compliance, enhance robotic process automation, and gain deeper insights from unstructured text.

Features

Sentiment Analysis: Determine whether a piece of writing is positive, negative, or neutral.
Categorization: Sort and organize documents into customizable groups.
Entity Extraction: Find people, places, dates, companies, products, jobs, titles, and more.
Intention Detection: Determine the expressed intent of customers and reviewers.
Flexible Deployment: Deploy across on-premise, private cloud, hybrid cloud, and public cloud infrastructure.
Native Language Support: Offers native language processing capabilities in 29 languages.
Industry Packs: Provides pre-built configurations tailored for specific industries.
Custom Machine Learning Models: Allows deployment of custom-trained models for unique data challenges.
Configuration & Tuning: Access control to define custom entities, create query topics, build taxonomies, and more.

Use Cases

Integrating NLP capabilities into existing products or platforms.
Monitoring and analyzing social media data.
Solving regulatory compliance issues involving text documents.
Enhancing Robotic Process Automation (RPA) with text understanding.
Analyzing data for Medical Affairs.
Understanding customer feedback across various industries (hotels, restaurants, retail).
Gauging employee sentiment (Voice of Employee analysis).
Storing, managing, and visualizing unstructured text data (Spotlight platform).