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Description
The Etuma text analysis service transforms your open-ended customer feedback into reliable and actionable insights. When you receive large volumes of open-text comments from various sources, it becomes challenging to systematically convert them into timely and useful information. The manual process of reading and categorizing each comment proves to be slow, costly, and lacks consistency. While you may have explored keyword analysis, it often fails to yield statistically significant or actionable insights. Furthermore, feedback collected from different processes and channels tends to remain segregated, causing valuable information to be trapped within organizational silos, accessible only to a select few. Etuma offers existing integrations with numerous survey, customer experience management, and contact center platforms, while also allowing you to link any spontaneous feedback channels such as email or web forms, ensuring that every piece of feedback can be effectively utilized. By leveraging this service, you can enhance your understanding of customer sentiment and improve decision-making across your organization.
Description
Our advanced natural language processing technology harnesses the power of AI to capture, analyze, and visualize insights from all forms of customer communication. This includes call transcriptions, chat conversations, emails, support tickets, return claims, social media interactions, and surveys, all supported in 47 languages. With Explorer, users can quickly analyze open-ended text responses in just a few minutes. Additionally, Explorer features an API that enables seamless integration of unstructured text data into your business intelligence systems. The field of employee experience focuses on analyzing and identifying the elements that contribute to employee satisfaction and motivation. Our offerings empower businesses to efficiently process, analyze, and derive meaning from vast amounts of unstructured natural language data in a fraction of the usual time. The platform is designed to be user-friendly, allowing you to create custom bots tailored to your specific business requirements without any coding knowledge necessary. You can achieve immediate efficiency improvements within just minutes of setup. Moreover, the Gavagai API provides a suite of semantic analysis tools that support 47 languages, allowing for immediate access to user-friendly endpoints. This robust capability ensures that organizations can effectively leverage insights from their data to enhance decision-making processes.
API Access
Has API
API Access
Has API
Integrations
SurveyMonkey Enterprise
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Etuma
Founded
2011
Country
Finland
Website
www.etuma.com
Vendor Details
Company Name
Gavagai
Founded
2009
Country
Sweden
Website
www.gavagai.io
Product Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Product 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
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering