Text analytics & NLP · Lexalytics (an InMoment company)

Lexalytics

Enterprise text-analytics and NLP platform offering sentiment, entity and intent extraction for business applications.

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Lexalytics packages sentiment analysis, entity extraction, emotion detection and theme extraction into a commercial platform aimed at enterprises embedding text analytics into products or customer-experience pipelines, rather than at researchers writing their own NLP code. It offers industry-tuned models for domains like finance and healthcare where general-purpose models underperform, and it can be deployed either through a cloud API or via the on-premises Semantria SDK for organizations that need to keep data in-house. It's now part of InMoment, a customer-experience company, reflecting how much of its commercial demand comes from CX and social-listening use cases rather than pure research. As enterprise software, pricing is quoted per contract and not published.

At a glance

Vendor Lexalytics (an InMoment company)
Pricing model Quote only
Free tier No
Deployment Cloud, Self-hosted
Open source No
Best for Enterprises embedding sentiment and entity extraction into customer-experience or social-listening products.

Pricing

Sold as an enterprise contract, quoted per organization; not published.

Pricing has not been verified yet — see the vendor's site.

Features

  • Sentiment analysis and emotion detection
  • Entity and theme extraction
  • Industry-specific NLP models (finance, healthcare, etc.)
  • On-premises Semantria SDK plus cloud API options
  • Multi-language support
  • Built for embedding into CX and social-listening pipelines

Integrations

Profile last reviewed September 21, 2026

Alternatives

Relative Insight Comparative text-analytics platform that contrasts two sets of text to surface statistically significant language differences. spaCy Open-source Python library for industrial-strength natural language processing and production NLP pipelines. Hugging Face Transformers Open-source Python library providing pretrained transformer models for text, vision and audio tasks.

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Terms to know

Natural language query Asking a data question in plain language and getting an answer without writing code or a query language. Sentiment analysis Using NLP to classify text as positive, negative, or neutral, so large volumes of comments or reviews can be scored automatically. Text analytics The techniques used to extract structured information and insight from unstructured text, from keyword counts to deep NLP.

Related guides

How to analyze text data From word counts and topic models to LLM classification — matching the method to the question instead of reaching for the newest tool by default. How to choose a text analytics or NLP tool Pick an NLP library or platform by whether your team writes code, what task you're actually doing, and whether you need a pretrained model or a custom one.