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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
Effortlessly query, explore, and share your data with Askdata, the pioneering platform designed to make data interaction seamless. You can connect all your data simply by clicking the "+" icon located in the upper right corner. Gather the findings from your analyses in user-friendly data cards, which can be enhanced with charts, images, and customized content before sharing them via the web, chat, and various applications. To create a tailored data experience, we harness all your current data and analytics platforms, enabling insights and interactions through natural language and proactive suggestions. Users can easily address any data inquiries with just a straightforward search. With Askdata's advanced natural language querying technology, users can instantaneously ask questions about their linked data without requiring any prior training. Our unique Human2SQL algorithm continuously improves with each search, ensuring a better experience. Additionally, Askdata incorporates state-of-the-art AI and knowledge graph methodologies to help users uncover pertinent content that is systematically organized within data cards, enhancing the overall data exploration journey. Ultimately, this platform transforms the way users perceive and interact with their data, making it accessible and actionable.
API Access
Has API
Yes
API Access
Has API
No
Integrations
AWS AI Services
Yes
AWS App Mesh
Yes
Amazon Comprehend Medical
Yes
Amazon Quick Suite
Yes
Amazon Web Services (AWS)
Yes
Axon Ivy
Yes
Azure Marketplace
No
Datasaur
Yes
FormKiQ
Yes
Google Analytics
No
Integrations
AWS AI Services
No
AWS App Mesh
No
Amazon Comprehend Medical
No
Amazon Quick Suite
No
Amazon Web Services (AWS)
No
Axon Ivy
No
Azure Marketplace
Yes
Datasaur
No
FormKiQ
No
Google Analytics
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
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
No
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
Askdata
Country
United States
Website
www.askdata.com/new-home
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