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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 Eyesee?

Eye tracking stands out as a unique approach in the realm of behavioral studies that captures eye movements and positions, effectively uncovering what captures consumers' attention or gets overlooked. Our remote eye tracking assessments drastically cut costs and time, enabling us to conduct research in over 40 countries globally. To gain a deeper understanding of international consumer behavior, it is vital to move past conventional lengthy surveys and focus groups. This innovative remote behavioral testing not only streamlines the research process but is also economically advantageous, facilitating broad-scale testing across different regions. By utilizing diverse methodologies, we guarantee enhanced predictability in our results. We excel in developing sophisticated shopping and digital environments that respond to the dynamic needs of consumers. As we progress, the retail landscape is on the brink of a significant social transformation. The proliferation of social media has become increasingly important for brands, given its widespread accessibility. Yet, navigating this fiercely competitive digital environment poses notable challenges, especially in breaking through the clutter and translating advertisements into tangible conversions. This shift in consumer engagement highlights the imperative for brands to continually refine and update their strategies. In light of these challenges, staying ahead requires innovative solutions and a proactive approach to market changes.

Media

Media

Integrations Supported

Docker
Hardis Group
Quickwork
Unremot

Integrations Supported

Docker
Hardis Group
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

EyeSee

Date Founded

2012

Company Location

Belgium

Company Website

eyesee-research.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

Emotion Recognition

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

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