About
Our AI-powered natural language processing technology can capture, analyze, and visualize insights from every channel of customer communication. Call transcriptions, chats, emails, support tickets, return claims, social media, and surveys. All in 47 languages! With Explorer, anyone can analyze open ended text responses in minutes. Explorer has an API that allows you to integrate your unstructured text data into your business intelligence ecosystem. Employee experience is the field of analyzing and determining factors that make employees happy and motivated. Our products help companies process, analyze and understand large amounts of unstructured natural language data in a short amount of time. An intuitive platform to build your custom bots fully suited to your business needs, with no coding needed. Minutes to start for immediate efficiency gains. The Gavagai API is a collection of semantic analysis tools supporting 47 languages. Access our easy to use endpoints immediately.
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About
Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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About
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.
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About
The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies searching for a text analytics solution to detect insights from every customer interaction
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Audience
Developers seeking a solution to derive insights from unstructured text using Google machine learning
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Audience
Enterprise organizations
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Audience
Developers interested in a beautiful but advanced programming language
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationGavagai
Founded: 2009
Sweden
www.gavagai.io
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Company InformationGoogle
Founded: 1998
United States
cloud.google.com/natural-language
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Company InformationOpenText
Founded: 1991
Canada
www.opentext.com/products/unstructured-data-analytics
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Company InformationPython
Founded: 1991
www.python.org
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Data Extraction Features
Disparate Data Collection
Document Extraction
Email Address Extraction
Image Extraction
IP Address Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction
Machine Learning Features
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Natural Language Generation Features
Business Intelligence
Chatbot
CRM Data Analysis and Reports
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content
Natural Language Processing Features
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 Features
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 Features
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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Enterprise Search Features
AI / Machine Learning
eDiscovery
Faceted Search / Filtering
Full Text Search
Fuzzy Search
Indexing
Text Analytics
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Integrations
Atom
Autotab
Betterscan.io
Claude Opus 4.5
CodeCollab
Codepad
Espresso
Hacker AI
Interview Coder
MLBox
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Integrations
Atom
Autotab
Betterscan.io
Claude Opus 4.5
CodeCollab
Codepad
Espresso
Hacker AI
Interview Coder
MLBox
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Integrations
Atom
Autotab
Betterscan.io
Claude Opus 4.5
CodeCollab
Codepad
Espresso
Hacker AI
Interview Coder
MLBox
|
Integrations
Atom
Autotab
Betterscan.io
Claude Opus 4.5
CodeCollab
Codepad
Espresso
Hacker AI
Interview Coder
MLBox
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