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
Komprehend AI offers an extensive range of document classification and NLP APIs designed specifically for software developers. Our advanced NLP models leverage a vast dataset of over a billion documents, achieving top-notch accuracy in various common NLP applications, including sentiment analysis and emotion detection. Explore our free demo today to experience the effectiveness of our Text Analysis API firsthand. It consistently delivers high accuracy in real-world scenarios, extracting valuable insights from open-ended text data. Compatible with a wide range of industries, from finance to healthcare, it also supports private cloud implementations using Docker containers or on-premise deployments, ensuring your data remains secure. By adhering to GDPR compliance guidelines meticulously, we prioritize the protection of your information. Gain insights into the social sentiment surrounding your brand, product, or service by actively monitoring online discussions. Sentiment analysis involves the contextual examination of text to identify and extract subjective insights from the material, thereby enhancing your understanding of audience perceptions. Additionally, our tools allow for seamless integration into existing workflows, making it easier for developers to harness the power of NLP.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
AWS Elemental
Yes
Docker
No
Dropbox
Yes
Google Cloud Document AI
Yes
Microsoft OneDrive
Yes
Microsoft SharePoint
Yes
Microsoft Teams
Yes
Quickwork
No
Salesforce
Yes
Unremot
No
Integrations
AWS Elemental
No
Docker
Yes
Dropbox
No
Google Cloud Document AI
No
Microsoft OneDrive
No
Microsoft SharePoint
No
Microsoft Teams
No
Quickwork
Yes
Salesforce
No
Unremot
Yes
Pricing Details
Pricing per power user or API call tiers.
Free Trial
Yes
Free Version
No
Pricing Details
$79 per month
Free Trial
No
Free Version
Yes
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
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
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
Komprehend
Country
India
Website
komprehend.io
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
Emotion Recognition
Facial Emotions
No
Facial Expression Analysis
No
Machine Learning
No
Photo Emotions
No
Speech Emotions
No
Video Emotions
No
Written Text Emotions
No
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