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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

Canvs AI is an insight platform that transforms open-ended texts from surveys, social media and transcripts into conversational intelligence. It can also be used to analyze product reviews and other information such as product reviews and product reviews. Canvs is used worldwide by some of the most respected brands, research agencies, media and entertainment companies to speed up time-to-insights and deepen understanding of audience. It also reduces the cost of analysis. Automate the analysis and interpretation of open-ended text to quickly uncover consumer insights with deep emotional context and high analytical confidence. Canvs' intuitive and easy-to-use insights portal allows you to quickly explore, filter and compare your findings. You can also generate stunning data visualizations. Automate the coding of attribute, recall, and awareness questions. Quickly identify and categorize sentiments and emotions associated with respondents and responses.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS AI Services 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 
Facebook No 
Instagram No 
Mantium Yes 
PubNub Yes 
Qlik Staige Yes 
Quickwork Yes 
Toluna Start No 
YouTube No 
iText Yes 
n8n Yes 

Integrations

AWS AI Services No 
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 
Facebook Yes 
Instagram Yes 
Mantium No 
PubNub No 
Qlik Staige No 
Quickwork No 
Toluna Start Yes 
YouTube Yes 
iText No 
n8n No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
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 No 
iPad App No 
Android App No 
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 No 
Live Rep (24/7) Yes 
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

Canvs AI

Country

United States

Website

canvs.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

Customer Engagement

Analytics No 
Churn Management No 
Communication Management No 
Community Management No 
Content Syndication No 
Feedback Collection No 
Gamification No 
Live Chat No 
Video Content No 

Customer Experience

Action Management No 
Analytics No 
Customer Segmentation No 
Dashboard No 
Feedback Management No 
Knowledge Management No 
Multi-Channel Collection No 
Sentiment Analysis No 
Survey Management No 
Text Analysis No 
Trend Analysis No 

Customer Feedback

Alerts / Notifications No 
Behavior Analytics No 
Bug Reports No 
Community Feedback Tools No 
Live Chat No 
Negative Feedback Management No 
Net Promoter Score (NPS) No 
Screenshot / Screen Capture No 
Surveys No 
User Testing Tools No 
Video Feedback No 
Visual Feedback Tools No 
Voice of the Customer (VoC) No 
Website Feedback No 

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 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

Survey

Custom Survey URLs No 
Data Analysis Tools No 
Email Marketing No 
Mobile Survey No 
Offline Response Collection No 
Paper Survey No 
Question Branching No 
Question Library No 
Site Intercept Survey No 
Skip Logic No 
Supports Audio / Images / Video 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 

Alternatives

Alternatives