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Description
Amazon Comprehend is an innovative natural language processing (NLP) tool that employs machine learning techniques to extract valuable insights and connections from text without requiring any prior machine learning knowledge.
Your unstructured data holds a wealth of possibilities, with sources like customer emails, support tickets, product reviews, social media posts, and even advertising content offering critical insights into customer sentiments that can drive your business forward. The challenge lies in how to effectively tap into this rich resource. Fortunately, machine learning excels at pinpointing specific items of interest within extensive text datasets—such as identifying company names in analyst reports—and can also discern the underlying sentiments in language, whether that involves recognizing negative reviews or acknowledging positive interactions with customer service representatives, all at an impressive scale.
By leveraging Amazon Comprehend, you can harness the power of machine learning to reveal the insights and relationships embedded within your unstructured data, empowering your organization to make more informed decisions.
Description
Atomic Intelligence offers an online platform dedicated to the automated examination of textual information. We analyze vast amounts of data, including news articles, social media posts, and regulatory documents, while identifying expressed opinions alongside references to companies, products, and various topics. Our services are invaluable to investment firms that leverage this data to enhance their proprietary trading methods, consumer goods companies aiming to gauge customer sentiment, and tech firms seeking to delegate text analysis tasks. Atomic Intelligence meticulously reviews text to uncover references to companies, products, sentiment, and numerous other aspects. Utilizing advanced natural language processing and machine learning technologies, we pinpoint significant mentions, whether they are explicitly stated or subtly implied within the content. Additionally, Atomic Intelligence is capable of handling any form of unstructured data. Users can upload documents through our web interface or API, or they can set up Atomic for automated scheduled retrieval from their preferred sources, thereby streamlining the analysis process. In this way, we empower organizations to gain deeper insights and make informed decisions based on comprehensive textual analysis.
API Access
Has API
API Access
Has API
Integrations
AWS AI Services
AWS App Mesh
AWS Lambda
Amazon Comprehend Medical
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Camunda
Datasaur
FormKiQ
Integrations
AWS AI Services
AWS App Mesh
AWS Lambda
Amazon Comprehend Medical
Amazon S3
Amazon Web Services (AWS)
Axon Ivy
Camunda
Datasaur
FormKiQ
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/comprehend/
Vendor Details
Company Name
Atomic Intelligence
Founded
2003
Country
United States
Website
www.atomicintelligence.com
Product Features
Natural Language Processing
Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Product Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering