Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Atomic Intelligence offers an online platform dedicated to the automated examination of textual information. We analyze vast amounts of data, including news articles, social media posts, and regulatory documents, while identifying expressed opinions alongside references to companies, products, and various topics. Our services are invaluable to investment firms that leverage this data to enhance their proprietary trading methods, consumer goods companies aiming to gauge customer sentiment, and tech firms seeking to delegate text analysis tasks. Atomic Intelligence meticulously reviews text to uncover references to companies, products, sentiment, and numerous other aspects. Utilizing advanced natural language processing and machine learning technologies, we pinpoint significant mentions, whether they are explicitly stated or subtly implied within the content. Additionally, Atomic Intelligence is capable of handling any form of unstructured data. Users can upload documents through our web interface or API, or they can set up Atomic for automated scheduled retrieval from their preferred sources, thereby streamlining the analysis process. In this way, we empower organizations to gain deeper insights and make informed decisions based on comprehensive textual analysis.
Description
Utilize natural language processing to derive insights from unstructured text without needing machine learning expertise, leveraging a suite of features from Cognitive Service for Language. Enhance your comprehension of customer sentiments through sentiment analysis and pinpoint significant phrases and entities, including individuals, locations, and organizations, to identify prevalent themes and trends. Categorize medical terminology with specialized, pretrained models tailored for specific domains. Assess text in numerous languages and uncover vital concepts within the content, such as key phrases and named entities encompassing people, events, and organizations. Investigate customer feedback regarding your brand while analyzing sentiments related to particular subjects through opinion mining. Moreover, extract valuable insights from unstructured clinical documents like doctors' notes, electronic health records, and patient intake forms by employing text analytics designed for healthcare applications, ultimately improving patient care and decision-making processes.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Azure Marketplace
No
TAS Insight Engine
No
Unremot
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Atomic Intelligence
Founded
2003
Country
United States
Website
www.atomicintelligence.com
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
Product Features
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
Product Features
Natural Language Processing
Co-Reference Resolution
Yes
In-Database Text Analytics
Yes
Named Entity Recognition
Yes
Natural Language Generation (NLG)
Yes
Open Source Integrations
Yes
Parsing
No
Part-of-Speech Tagging
Yes
Sentence Segmentation
Yes
Stemming/Lemmatization
Yes
Tokenization
No