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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
Tisane API is an NLU API that focuses on law enforcement and abusive content. Tisane detects:
• hate speech
• Cyberbullying
• Criminal activity
• Sexual advances
• Attempts to establish external contact
More.
Tisane identifies the issue and pinpoints the text fragment that is infringing. Optionally, an explanation can be provided for audit or sanity checks.
Tisane can handle 30 languages, even if it contains slang or obfuscation.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
PubNub
Yes
AWS App Mesh
Yes
AWS Lambda
Yes
Amazon Comprehend Medical
Yes
Amazon Quick Suite
Yes
Amazon S3
Yes
Amazon Web Services (AWS)
Yes
Axon Ivy
Yes
Camunda
Yes
Datasaur
Yes
Integrations
PubNub
Yes
AWS App Mesh
No
AWS Lambda
No
Amazon Comprehend Medical
No
Amazon Quick Suite
No
Amazon S3
No
Amazon Web Services (AWS)
No
Axon Ivy
No
Camunda
No
Datasaur
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Subscription SaaS or on prem
Free Trial
No
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
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/comprehend/
Vendor Details
Company Name
Tisane Labs
Founded
2017
Country
Singapore
Website
tisane.ai
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
Content Moderation
Artificial Intelligence
No
Audio Moderation
No
Brand Moderation
No
Comment Moderation
No
Customizable Filters
No
Image Moderation
No
Moderation by Humans
No
Reporting / Analytics
No
Social Media Moderation
No
User-Generated Content (UGC) Moderation
No
Video Moderation
No
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
Yes
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
Yes
Qualitative Data Analysis
Annotations
Yes
Collaboration
No
Data Visualization
No
Media Analytics
No
Mixed Methods Research
No
Multi-Language
Yes
Qualitative Comparative Analysis
No
Quantitative Content Analysis
No
Sentiment Analysis
Yes
Statistical Analysis
No
Text Analytics
Yes
User Research Analysis
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
Yes
Predictive Modeling
No
Sentiment Analysis
Yes
Summarization
No
Tagging
Yes
Taxonomy Classification
Yes
Text Analysis
Yes
Topic Clustering
Yes