InfoNgen

InfoNgen

EPAM Systems
+
+

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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.

About

InfoNgen is a text analytics and sentiment analysis solution that automatically finds actionable insights hidden in mountains of data. Find, share and analyze only critical information, from structured and unstructured data, to dramatically free up your teams' time to make more informed, strategic decisions. With its proprietary tools for text analytics and sentiment analysis, InfoNgen lets you uncover patterns, trends and anomalies hidden deep within your data. InfoNgen is the only text analytics product available that offers its distinct use cases combined with its powerful features, arming your employees with the information they need to make better decisions, faster. Through its powerful intelligent search capabilities, text analytics features, customizable delivery options and prebuilt industry taxonomies, InfoNgen gives businesses a resource to find critical information, immediately.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers seeking a solution to derive insights from unstructured text using Google machine learning

Audience

Enterprises in search of a software solution to search and find insights within large amounts of data

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
cloud.google.com/natural-language

Company Information

EPAM Systems
United States
www.epam.com

Alternatives

Alternatives

Semantria

Semantria

Lexalytics
3RDi Search

3RDi Search

The Digital Group

Categories

Categories

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

Enterprise Search Features

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

Insight Engines Features

AI / Machine Learning
Augmented Analytics
Data Aggregation
Data Classification
Data Extraction
Data Source Connectors
Full Text Search
Intent Recognition
Multiple Data Sources
Search / Filter
Sentiment Analysis

Integrations

Dropbox
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
Google Cloud AutoML
Google Cloud Platform
Google Cloud Speech-to-Text
Google Cloud Vision AI
Health Studio
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams
Salesforce
Unremot
Vertex AI
n8n

Integrations

Dropbox
Gemini 1.5 Pro
Gemini 2.0
Gemini 2.0 Flash
Gemini Advanced
Gemini Enterprise
Gemini Nano
Gemini Pro
Google Cloud AutoML
Google Cloud Platform
Google Cloud Speech-to-Text
Google Cloud Vision AI
Health Studio
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams
Salesforce
Unremot
Vertex AI
n8n
Claim Google Cloud Natural Language API and update features and information
Claim Google Cloud Natural Language API and update features and information
Claim InfoNgen and update features and information
Claim InfoNgen and update features and information