Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Azure AI Language serves as a comprehensive managed service designed for the creation of natural language processing applications. It enables users to pinpoint important terms and phrases, evaluate sentiment, condense text, and construct interactive conversational interfaces. This service allows you to annotate, develop, assess, and deploy tailored AI models without needing extensive machine-learning knowledge. With ready-to-use entity categories applicable to various industries and text analytics tailored for the healthcare sector, its out-of-the-box functionalities promote rapid initiation while still permitting further customization and enhancement as necessary. To fine-tune your machine learning model for specific scenarios, you can provide several labeled examples. Additionally, custom multilingual models can be trained in a single language and effectively applied across several others. Through Language Studio, you can leverage advanced GPT-powered language models to promptly review and recommend labels for your content. Moreover, it facilitates the extraction, labeling, and redaction of critical information in text across diverse categories, making it a versatile tool for various applications. This combination of features ensures that users can efficiently manage their language processing needs regardless of their technical expertise.
Description
As a result, the SecondEGO chatbot stands out as the sole digital assistant that truly caters to the needs of Slovenian speakers. Its design makes it easy, quick, clear, and affordable to learn how to use effectively. You can educate the SecondEGO chatbot on your own, without the need for costly developers. Unlike English, the Slovenian language offers greater flexibility through its inflection, conjugation, and gradation, which significantly hinders the effectiveness of English-based chatbots when applied to Slovenian. The SecondEGO digital assistant is uniquely equipped with the most sophisticated support for the Slovenian language, including its inherent flexibility. You can enhance your learning experience by utilizing simple mind diagrams to teach the SecondEGO chatbot. This approach eliminates the necessity of hiring expensive programmers. Visual clarity through mind diagrams is essential; without it, you risk losing control over your learning process with other digital assistants from the very beginning. Ultimately, the SecondEGO chatbot empowers users to engage in a more interactive and effective learning journey.
API Access
Has API
API Access
Has API
Integrations
Crestwood Cloud
Microsoft Azure
Pricing Details
$2 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/ai-language/
Vendor Details
Company Name
SecondEgo
Country
Slovenia
Website
secondego.com
Product Features
Natural Language Processing
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
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Chatbot
Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration
Natural Language Processing
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