Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Quaeris Reviews & Ratings
    6 Ratings
    Company Website
  • E42 AI Accounts Payable Automation Reviews & Ratings
    5 Ratings
    Company Website
  • kama DEI Reviews & Ratings
    8 Ratings
  • LM-Kit.NET Reviews & Ratings
    3 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    1,730 Ratings
    Company Website
  • icCube Reviews & Ratings
    30 Ratings
    Company Website
  • DataBuck Reviews & Ratings
    6 Ratings
    Company Website
  • NetNut Reviews & Ratings
    402 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    4 Ratings
    Company Website
  • Kognition Reviews & Ratings
    Company Website

What is OpenText Unstructured Data Analytics?

OpenTextâ„¢ offers Unstructured Data Analytics Products that harness the power of AI and machine learning to assist organizations in uncovering and utilizing vital insights concealed within various forms of unstructured data, including text, audio, videos, and images. By enabling organizations to connect data at scale, they can gain a clearer understanding of the context and content embedded in rapidly growing unstructured content. The platform provides unified analytics for text, speech, and video across more than 1,500 data formats, facilitating the extraction of insights from diverse media types. Utilizing technologies like OCR, natural language processing, and other advanced AI models allows organizations to monitor and interpret the essence of unstructured data effectively. Additionally, leveraging cutting-edge innovations in deep neural networks and machine learning enables a deeper comprehension of both spoken and written language found within the data, ultimately leading to the discovery of even greater insights. This comprehensive approach not only enhances data understanding but also empowers organizations to make more informed decisions based on the valuable information extracted from their unstructured data.

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.

Media

Media

Integrations Supported

Azure Marketplace
GraphDB

Integrations Supported

Azure Marketplace
GraphDB

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

OpenText

Date Founded

1991

Company Location

Canada

Company Website

www.opentext.com/products/unstructured-data-analytics

Company Facts

Organization Name

University of Sheffield

Date Founded

1995

Company Location

United Kingdom

Company Website

gate.ac.uk

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Enterprise Search

AI / Machine Learning
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
eDiscovery

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

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

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

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

Popular Alternatives

Popular Alternatives

Semantria Reviews & Ratings

Semantria

Lexalytics