Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
InfoNgen is a text analytics solution and sentiment analysis tool that automatically uncovers actionable insights in mountains of data. To dramatically reduce the time required to make informed strategic decisions, your teams will be able to share, analyze, and share only critical information from both structured and unstructured data. InfoNgen's proprietary tools for sentiment analysis and text analytics allow you to uncover patterns, trends, and anomalies deep within your data. InfoNgen is the only product that combines its unique use cases with powerful features. This will empower your employees to make better decisions and get there faster. InfoNgen provides businesses with a powerful resource for finding critical information. It has pre-built industry taxonomies and customizable delivery options.
Description
Incorporate our advanced text analytics APIs to infuse your product, platform, or application with state-of-the-art natural language processing capabilities. Boasting the most comprehensive NLP feature set available, our technology has been refined over 19 years and is continually updated with new libraries, configurations, and models. You can assess whether a written piece conveys a positive, negative, or neutral sentiment, as well as sort and categorize documents into tailored groups. Additionally, our system can identify the expressed intentions of customers and reviewers, and extract pertinent information such as people, locations, dates, companies, products, jobs, and titles. You have the flexibility to deploy our text analytics and NLP solutions across a variety of infrastructures, including on-premise, private cloud, hybrid cloud, and public cloud environments. Our foundational software libraries for text analytics and natural language processing are fully accessible and at your service. This offering is especially advantageous for data scientists and architects who seek unrestricted access to the core technology or require on-premise deployment to maintain security and privacy standards. Ultimately, our innovative solutions empower you to harness the full potential of language data effectively.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
.NET
No
AWS Elemental
Yes
C#
No
CisionOne
No
DataSift
No
Dropbox
Yes
Google Cloud Document AI
Yes
Hootsuite
No
Microsoft 365
No
Microsoft OneDrive
Yes
Integrations
.NET
Yes
AWS Elemental
No
C#
Yes
CisionOne
Yes
DataSift
Yes
Dropbox
No
Google Cloud Document AI
No
Hootsuite
Yes
Microsoft 365
Yes
Microsoft OneDrive
No
Pricing Details
Pricing per power user or API call tiers.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
EPAM Systems
Country
United States
Website
www.epam.com
Vendor Details
Company Name
Lexalytics
Country
United States
Website
www.lexalytics.com
Product Features
Enterprise Search
AI / Machine Learning
Yes
Faceted Search / Filtering
Yes
Full Text Search
Yes
Fuzzy Search
Yes
Indexing
Yes
Text Analytics
Yes
eDiscovery
No
Insight Engines
AI / Machine Learning
Yes
Augmented Analytics
Yes
Data Aggregation
Yes
Data Classification
Yes
Data Extraction
Yes
Data Source Connectors
Yes
Full Text Search
Yes
Intent Recognition
Yes
Multiple Data Sources
Yes
Search / Filter
Yes
Sentiment Analysis
Yes
Product Features
Natural Language Processing
Co-Reference Resolution
No
In-Database Text Analytics
No
Named Entity Recognition
No
Natural Language Generation (NLG)
No
Open Source Integrations
No
Parsing
No
Part-of-Speech Tagging
No
Sentence Segmentation
No
Stemming/Lemmatization
No
Tokenization
No
Text Mining
Boolean Queries
No
Document Filtering
No
Graphical Data Presentation
No
Language Detection
No
Predictive Modeling
No
Sentiment Analysis
No
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No