Lexalytics

Enterprise text analytics for customer feedback

SF8.2
sentiment analysistext analyticsNLP platform
sentiment analysistext analytics

Best for

Teams analyzing large unstructured text sources

Pricing

Custom

SoftFinders Score

8.2 / 10

Overview

What is Lexalytics?

Lexalytics, an InMoment company, provides text analytics and natural language processing software that converts unstructured text into structured data using sentiment analysis, entity extraction, categorization, themes, intentions, summarization, and machine learning. Its technology can operate through APIs, embedded libraries, cloud infrastructure, or customer-controlled deployments.


  1. Text analytics role: Lexalytics extracts entities such as people, companies, products, and places while identifying sentiment, topics, themes, categories, and intentions within customer feedback, reviews, surveys, social content, support conversations, and other text-heavy datasets.
  2. Deployment options: Salience is its customizable NLP engine for on-premises deployment or embedding within another product. Semantria exposes Salience capabilities through a REST API and can run in public or private clouds, on-premises, or in hybrid environments. Spotlight adds storage, analysis, visualization, and sharing for text datasets.
  3. Customization: teams can create custom entities, query topics, category taxonomies, sentiment rules, and other domain-specific configurations. Lexalytics also supports trained classifiers and custom machine-learning models for cases that require more specialized categorization or entity recognition.
  4. Implementation checks: buyers should assess language and feature coverage, document volumes, deployment and security requirements, domain terminology, tuning needs, and whether the project requires an API, embedded NLP engine, custom models, or an analytical interface for storing and visualizing text.


Lexalytics is particularly relevant to organizations embedding configurable NLP into customer experience, social listening, market research, employee feedback, and other applications that process substantial volumes of unstructured text.

KEY FEATURES

What you get out of the box

Sentiment Analysis

Score opinions across customer text sources

Entity Extraction

Identify people, products, places, and themes

Custom Taxonomies

Tune categories for industry-specific vocabulary effectively

Multilingual NLP

Analyze feedback across several language markets

API Access

Embed text analytics inside business systems

Theme Detection

Surface recurring topics from unstructured content

USE CASES

Where teams put it to work

Analyze survey comments at enterprise scale
Classify support tickets by topic
Track sentiment in customer reviews
Extract entities from documents automatically
Support compliance review of written content
Tune NLP models for industry language

Editorial Take

What we like, and what to verify

What we like
  • Mature NLP engine with long enterprise history
  • Custom taxonomies support industry-specific text analysis today
  • Useful for large ongoing feedback programs today
What to verify
  • Product packaging now requires direct confirmation today
  • Modern LLMs compete for simpler workflows today
  • Enterprise deployment may feel heavy for small teams

FAQ

Quick answers

DECISION TIME

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