Amazon Comprehend vs. Sphinx iQ3 Comparison


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About Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required. There is a treasure trove of potential sitting in your unstructured data. Customer emails, support tickets, product reviews, social media, even advertising copy represents insights into customer sentiment that can be put to work for your business. The question is how to get at it? As it turns out, Machine learning is particularly good at accurately identifying specific items of interest inside vast swathes of text (such as finding company names in analyst reports), and can learn the sentiment hidden inside language (identifying negative reviews, or positive customer interactions with customer service agents), at almost limitless scale. Amazon Comprehend uses machine learning to help you uncover the insights and relationships in your unstructured data.	About Sphinx iQ 3 is the intuitive and efficient multi-channel survey solution to support you at every stage of your projects: from the design of your questionnaires to the analysis of results and their communication. Combining quantitative and qualitative approaches to data visualization, Sphinx iQ 3 makes your data speak to obtain a vision of results that is as synthetic as it is rich and precise. Sphinx iQ 3, is the innovative solution to get the most out of your studies and guide your decisions. Individualize your invitation messages. Develop your tailor-made forms (design, number of questions per page, types of questions, thank you message, etc.). Ask the right question to the right contact by scripting your form with conditional questions and referrals. Distribute dynamic and interactive questionnaires with a display adapted to different media, computers, tablets, smartphones, etc. for a better user experience (responsive design).
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Organizations that want a powerful solution that lets them discover insights and relationships in text	Audience Businesses seeking a solution to create online surveys and graphic models, and manage result analysis
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Amazon Founded: 1994 United States aws.amazon.com/comprehend/	Company Information Le Sphinx France www.lesphinx-developpement.fr/logiciels/enquete-analyse-sphinx-iq/
Alternatives Google Cloud Natural Language API Google	Alternatives Medallia
MeaningCloud	Industrytics
spaCy	Surveyed Spicyfy Ventures
Lexalytics	SurveyOL SurveyOL.com
Komprehend View All	SurveyLab View All
Categories Artificial Intelligence (AI) APIs Natural Language Processing Text Mining	Categories 360 Degree Feedback Complaint Management Customer Data Platforms (CDP) Customer Experience Customer Satisfaction Data Analysis Data Discovery Data Entry Data Visualization Employee Engagement Natural Language Processing NPS Online Form Builders Polling Survey Text Mining User Research
	Show More Features 360 Degree Feedback Features Dashboard Feedback / Surveys Progress Tracking Question Library Rater Selection Self Service Portal Supports External Reviewers Complaint Management Features Case Management Complaint Classification Corrective Actions (CAPA) Customer Complaint Tracking Feedback Management Forms Management Issue Tracking Quality Assurance Management Routing Self Service Portal Social Media Monitoring Survey Management Customer Experience Features Action Management Analytics Customer Segmentation Dashboard Feedback Management Knowledge Management Multi-Channel Collection Sentiment Analysis Survey Management Text Analysis Trend Analysis Customer Satisfaction Features 360 Degree Feedback Analytics Call Reporting Complaint Monitoring Feedback Collection Survey Management Data Visualization Features Analytics Content Management Dashboard Creation Filtered Views OLAP Relational Display Simulation Models Visual Discovery Online Form Builders Features Artificial Intelligence Assign Roles / Permissions Collaboration Tools Conversational Forms Data Tables Drag & Drop / No Code Export to PDF HIPAA Compliant Import Existing Forms Mobile Forms Offline Forms Pre-made Templates Quizzes / Questionnaires Reporting / Data Visualization Signup Forms Surveys Polling Features Data Analysis Tools Email Distribution Feedback Collection Live Results Tracking Multiple Question Types Online Polling Phone Polling Presentation Tools Q & A Skip Logic SMS Polling Supports Audio / Images / Video Survey Features Custom Survey URLs Data Analysis Tools Email Marketing Mobile Survey Offline Response Collection Paper Survey Question Branching Question Library Site Intercept Survey Skip Logic Supports Audio / Images / Video
Integrations AWS AI Services AWS App Mesh AWS Lambda Amazon Comprehend Medical Amazon S3 Amazon Web Services (AWS) Axon Ivy Camunda Datasaur FormKiQ Mantium PubNub Qlik Staige Quickwork iText n8n Show More Integrations View All 16 Integrations	Integrations AWS AI Services AWS App Mesh AWS Lambda Amazon Comprehend Medical Amazon S3 Amazon Web Services (AWS) Axon Ivy Camunda Datasaur FormKiQ Mantium PubNub Qlik Staige Quickwork iText n8n Show More Integrations
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