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What is Luminoso?

Luminoso revolutionizes the way unstructured text data is transformed into essential business insights. By harnessing common-sense artificial intelligence, we enable organizations to comprehend and act upon the information they receive. Our platform is designed to require minimal setup, ongoing maintenance, or training, and it operates without the need for any initial data input. Luminoso merges cutting-edge natural language understanding technology with an extensive knowledgebase to learn and interpret words in context as humans do, allowing for rapid text analysis that takes minutes rather than months. Furthermore, our software supports over a dozen languages natively, empowering leaders to swiftly investigate data relationships, understand feedback, and prioritize queries to maximize value. As a privately held company, Luminoso is based in Boston, MA, and is dedicated to simplifying the complexity of data interpretation for organizations worldwide.

What is Amazon Comprehend?

Amazon Comprehend is an advanced natural language processing (NLP) platform that utilizes machine learning techniques to uncover insights and identify relationships within textual data, requiring no previous machine learning expertise for its application. Your unstructured data, which may originate from customer emails, support requests, product reviews, social media conversations, or marketing materials, is rich with insights that can greatly benefit your organization by reflecting customer attitudes. The main challenge is to harness this abundant information, but machine learning is adept at extracting specific elements from large volumes of text, such as identifying company names in financial reports, along with gauging the sentiment conveyed in the language, whether it involves addressing negative feedback or recognizing positive experiences with customer service. Amazon Comprehend enables you to uncover these hidden insights and relationships in your unstructured data, serving as a vital tool for improving business strategies and making informed decisions. As a result, leveraging this technology can transform the way you understand and respond to customer needs, ultimately driving growth and innovation within your organization.

Media

Media

Integrations Supported

Integrations Supported

AWS AI Services
AWS App Mesh
AWS Lambda
Amazon Comprehend Medical
Amazon Quick Suite
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Camunda
Datasaur
FormKiQ
Mantium
PubNub
Qlik Staige
Quickwork
iText
n8n

API Availability

API Availability

Has API

Pricing Information

$1250/month

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Luminoso Technologies Inc.

Date Founded

2010

Company Location

United States

Company Website

luminoso.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/comprehend/

Categories and Features

Customer Experience

Analytics
Customer Segmentation
Dashboard
Sentiment Analysis
Text Analysis

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Sentiment Analysis
Text Analytics

Experience Management

Analytics
Customer Segmentation
Sentiment Analysis
Text Analysis

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Visualization

Natural Language Processing

In-Database Text Analytics
Parsing
Part-of-Speech Tagging
Stemming/Lemmatization
Tokenization

Predictive Analytics

AI / Machine Learning
Sentiment Analysis

Qualitative Data Analysis

Data Visualization
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Text Mining

Document Filtering
Graphical Data Presentation
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

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