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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Screenshots View All

Screenshots View All

Integrations

SurveyMonkey Enterprise

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

Alternatives

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