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What is Gate?

If you're eager to confront challenges associated with text analysis or language processing, then you've found an excellent resource! GATE is a powerful open-source software toolkit crafted to effectively handle a wide range of text processing issues. It is supported by a vast and established community that includes developers, users, educators, students, and researchers. This toolkit is employed by businesses of all sizes, from large corporations to small and medium enterprises, as well as research labs and universities around the world. The talented team behind GATE consists of leading figures in language processing development. Being open-source, GATE is freely accessible, allowing users to receive complimentary help from the community via GATE.ac.uk or choose commercial support from our industrial partners. Notably, GATE is recognized as the largest initiative in open-source language processing, with a development team that is more than twice the size of its closest rivals, many of which are integrated with GATE2. Over €5 million has been dedicated to the development of GATE, reinforcing our commitment to ensuring that this investment results in substantial benefits for every user of the toolkit. By opting for GATE, you not only gain access to advanced tools but also become part of a vibrant community that is passionate about pushing the boundaries of language processing technologies. Your participation enables further innovation and collaboration in this dynamic field.

What is Affect-Tag RX?

Assessing emotions can yield critical insights for objective evaluations. By integrating cognitive data into your consumer and user research, you can make decisions that are based on genuine emotional reactions. The Affect-tag RX solution provides reliable and insightful emotional metrics through a secure web service and a customized dashboard. These metrics are obtained from physiological information collected via the Affect-tag RX mobile application and its unique smartband. This tool is designed for efficient data collection, fitting effortlessly into a variety of research methodologies. Participants can fully engage in their experiences without any potential biases interfering with the outcomes. Furthermore, our unique algorithms analyze physiological data in just a few minutes, granting researchers quick access to impactful insights. This rapid processing empowers researchers to respond promptly to the emotional data gathered, thereby enriching the overall research process and fostering a deeper understanding of consumer behavior. Ultimately, leveraging such technology not only streamlines research but also enhances the quality of insights derived from emotional analyses.

Media

Media

Integrations Supported

GraphDB

Integrations Supported

GraphDB

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$1500 per month
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

University of Sheffield

Date Founded

1995

Company Location

United Kingdom

Company Website

gate.ac.uk

Company Facts

Organization Name

Neotrope

Date Founded

2007

Company Location

France

Company Website

affect-tag.com

Categories and Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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