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What is Komprehend?

Komprehend AI provides a comprehensive suite of document classification and natural language processing (NLP) APIs tailored for software developers. Utilizing sophisticated NLP models trained on an extensive collection of over a billion documents, we achieve exceptional accuracy across a wide array of common NLP tasks, such as sentiment analysis and emotion detection. You can try our free demo today to see how our Text Analysis API performs in practice, consistently offering high precision when extracting meaningful insights from unstructured text data. Suitable for diverse sectors, including finance and healthcare, our solutions also facilitate private cloud setups through Docker containers or can be deployed on-premise, ensuring your data's confidentiality. We strictly adhere to GDPR compliance standards, emphasizing the safeguarding of your sensitive information. By monitoring online conversations, you can gain a deeper understanding of the social sentiment related to your brand, product, or service. Sentiment analysis involves a detailed contextual review of text to uncover and extract subjective insights, thereby enriching your comprehension of audience opinions. Furthermore, our tools are designed for easy integration into current workflows, simplifying the process for developers to leverage the capabilities of NLP. With these advanced features, Komprehend AI empowers businesses to make data-driven decisions by providing clarity on public sentiment.

What is Etuma?

The Etuma text analysis platform converts open-ended customer feedback into meaningful and actionable insights. Handling vast amounts of open-text responses from diverse sources can make it difficult to efficiently extract timely and relevant information. The traditional method of manually reviewing and classifying each comment is not only slow and expensive but also inconsistent. Although keyword analysis may have been considered, it frequently falls short of delivering statistically significant or actionable outcomes. Additionally, feedback gathered from various processes and channels often remains isolated, leading to valuable insights being locked away in organizational silos, accessible only to a limited audience. Etuma provides seamless integrations with a variety of survey, customer experience management, and contact center tools, plus it enables connections to spontaneous feedback channels like email or web forms, making sure that all feedback is leveraged effectively. By utilizing this service, organizations can significantly improve their grasp of customer sentiment and enhance overall decision-making. In doing so, they can create a more cohesive strategy that addresses customer needs more effectively.

Media

Media

Integrations Supported

Docker
Quickwork
Unremot

Integrations Supported

Docker
Quickwork
Unremot

API Availability

Has API

API Availability

Has API

Pricing Information

$79 per month
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

Komprehend

Company Location

India

Company Website

komprehend.io

Company Facts

Organization Name

Etuma

Date Founded

2011

Company Location

Finland

Company Website

www.etuma.com

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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

Categories and Features

Text Mining

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

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