Lexalytics

Transform Complex Text Documents into Data, Insights, & Value

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Description

Lexalytics provides comprehensive natural language processing and text analytics capabilities designed to extract meaningful data and insights from complex unstructured text documents. It offers flexible deployment options including on-premise software libraries (Salience), a cloud-based RESTful API (Semantria), and an integrated platform for document storage, management, and analysis (Spotlight). These tools enable organizations to understand sentiment, categorize information, extract key entities, and detect intentions within their text data across various languages and industries.

The platform features a robust stack of NLP functions developed over 19 years, including sentiment analysis, entity extraction, categorization, and intention detection. Lexalytics supports truly native analysis in 29 languages and provides pre-configured Industry Packs for sectors like retail, pharma, and hospitality to improve accuracy out-of-the-box. Users can further customize the system by defining entities, building taxonomies, and even deploying custom machine learning models to address specific data challenges, integrating these capabilities into their own products or workflows.

Key Features

Sentiment Analysis: Determine positive, negative, or neutral sentiment in text.
Entity Extraction: Identify and extract named entities like people, places, organizations, dates.
Text Categorization: Automatically sort documents into predefined or custom categories.
Intention Detection: Recognize the expressed intent within customer feedback or reviews.
Flexible Deployment: Options for on-premise, private cloud, hybrid cloud, and public cloud infrastructure.
Multi-Language Support: Native processing capabilities for 29 languages.
Industry Packs: Pre-built configurations optimized for specific industries (e.g., Hotels, Retail, Pharma).
Customization & Tuning: Tools for defining custom entities, topics, taxonomies, and blacklists.
API Access: RESTful API (Semantria) and software libraries (Salience) for integration.
Custom Machine Learning Models: Capability to deploy bespoke ML models for unique text analysis tasks.

Use Cases

Analyzing social media data for brand sentiment and trends.
Ensuring regulatory compliance by processing complex documents.
Enhancing Robotic Process Automation with text understanding capabilities.
Extracting insights from medical affairs documents and data.
Monitoring customer feedback across various channels.
Analyzing employee feedback for HR insights (Voice of Employee).
Integrating advanced text analytics into third-party applications and platforms.