Average Ratings 2 Ratings
Average Ratings 0 Ratings
Description
Our natural language processing technology efficiently reveals insights from vast amounts of text with an unparalleled level of accuracy in the market, while offering the adaptability to fit seamlessly into your unique business and operational workflows. You can achieve significant and consistent outcomes with this approach. A considerable number of our deployed models exceed 90% in both precision and recall, standing in stark contrast to the industry's average of 68%. This remarkable performance explains why Amenity's NLP is relied upon by major organizations across various sectors. It focuses on extracting relevant information while filtering out irrelevant noise. Our NLP processes, refines, and organizes text from millions of documents, converting them into actionable insights for your business. It assesses the context and significance of text, recognizing shifts in meaning from individual phrases to broader paragraphs. Additionally, it allows you to transform any text source into tailored industry analyses and sentiments linked to business activities, providing clarity on the reasons behind the outcomes. With a commitment to transparency, our NLP is customizable to meet your specific needs and adapt to any environment. Ultimately, this ensures you receive the insights that matter most to your business.
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
No
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amenity Analytics
Country
United States
Website
www.AmenityAnalytics.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
Yes
Summarization
No
Tagging
No
Taxonomy Classification
No
Text Analysis
Yes
Topic Clustering
Yes
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