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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
MeaningCloud is the easiest, most cost-effective, and most cost-effective way to extract meaning from unstructured content (articles, documents, social conversations, etc.).
We offer text analytics products that provide the most accurate insights possible from any content in any language. We do it both SaaS-based and on-prem. We have worked in a variety of industries, including pharma, finance, media and retail. We develop tailored and industry-specific solutions.
Our scenarios include:
* Insight extraction
* Analysis of the voice and opinions of the customer, employee or citizen. (User experience analytics and customer experience analytics in general.
* Intelligent document automation
Our APIs are free to use (20,000 API calls per year). Get our add-ins for Excel or Google sheets. Our integrations with Dataiku RapidMiner, Automation Anywhere, and Automation Anywhere as well as our SDKs (PHP, Python, Java and JavaScript) are available.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS AI Services
Yes
AWS App Mesh
Yes
AWS Lambda
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Axon Ivy
Yes
Camunda
Yes
Dataiku
No
Datasaur
Yes
FormKiQ
Yes
Integrations
AWS AI Services
No
AWS App Mesh
No
AWS Lambda
No
Amazon S3
No
Amazon Web Services (AWS)
No
Axon Ivy
No
Camunda
No
Dataiku
Yes
Datasaur
No
FormKiQ
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$99 per month
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/comprehend/
Vendor Details
Company Name
MeaningCloud
Founded
1998
Country
United States
Website
meaningcloud.com
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Social Media Analytics Tools
Campaign Analytics
No
Competitor Monitoring
No
Customizable Reports
No
Engagement Tracking
No
Influencer Tracking
No
Multi-Channel Data Collection
No
Text Mining
Boolean Queries
Yes
Document Filtering
Yes
Graphical Data Presentation
No
Language Detection
Yes
Predictive Modeling
No
Sentiment Analysis
Yes
Summarization
Yes
Tagging
Yes
Taxonomy Classification
Yes
Text Analysis
Yes
Topic Clustering
Yes