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What is Caplena?

• Recognize Patterns • Showcase Outcomes • Topic Sentiment Evaluation • Amplified by Collaborative Intelligence Caplena is a cutting-edge customer feedback platform that employs augmented intelligence to empower market researchers, customer experience professionals, and consultants in uncovering deep insights from qualitative textual data. The idea for Caplena originated from co-founders Maurice and Pascal, who identified that many market research firms dealing with customer feedback face a prevalent issue: an abundance of open-ended responses paired with a lack of time for comprehensive analysis. Since its inception in the Spring of 2018, Caplena has successfully analyzed over 50 million responses and continues to add approximately 120 new projects weekly. Currently, it is recognized as the leading text analytics tool for over 100 companies in more than 15 countries, with prominent clients such as Swisscom, eBay, DHL, Coop, and Joyn, highlighting its significant influence and value in the market research sector. Its growth trajectory not only underscores its effectiveness but also illustrates the increasing reliance on technology-driven solutions in understanding consumer feedback.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

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Media

Integrations Supported

Azure Marketplace
Quickwork
TAS Insight Engine
Unremot

Integrations Supported

Azure Marketplace
Quickwork
TAS Insight Engine
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Caplena

Date Founded

2017

Company Location

Switzerland

Company Website

caplena.com/en/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Categories and Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Customer Feedback

Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and Features

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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