Audience

Enterprise organizations

About OpenText Unstructured Data Analytics

OpenText™ Unstructured Data Analytics products employ AI and machine learning to help organizations uncover and leverage key insights stored deep within their unstructured data, including text, audio, video, and images. Organizations can connect all their data to understand the context and information locked inside high-growth unstructured content—at scale. Discover insights hidden within all types of media with unified text, speech, and video analytics that support more than 1,500 data formats. Use natural language processing, optical character recognition (OCR), and other AI-powered models to understand and track the meaning within unstructured data. Employ the latest innovations in machine learning and deep neural networks to understand written and spoken language in data, revealing greater insights.

Integrations

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Company Information

OpenText
Founded: 1991
Canada
www.opentext.com/products/unstructured-data-analytics

Videos and Screen Captures

OpenText Unstructured Data Analytics Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Phone Support
Online

OpenText Unstructured Data Analytics Frequently Asked Questions

Q: What kinds of users and organization types does OpenText Unstructured Data Analytics work with?
Q: What languages does OpenText Unstructured Data Analytics support in their product?
Q: What kind of support options does OpenText Unstructured Data Analytics offer?
Q: What other applications or services does OpenText Unstructured Data Analytics integrate with?
Q: What type of training does OpenText Unstructured Data Analytics provide?

OpenText Unstructured Data Analytics Product Features

Artificial Intelligence

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

Business Intelligence

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

Data Analysis

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

Enterprise Search

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

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)

Qualitative Data Analysis

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

Text Mining

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