Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Develop applications utilizing conversational language understanding, an advanced AI capability that interprets user intentions and extracts crucial details from informal dialogue. Design customizable intent classification and entity extraction models tailored to your specific terminology across 96 different languages, allowing for multilingual functionality without the need for retraining after initial training in one language. Swiftly generate intents and entities while tagging your own utterances, and incorporate prebuilt components from an extensive range of standard types. Assess your models using integrated quantitative metrics such as precision and recall to ensure optimal performance. A user-friendly dashboard simplifies the management of model deployments within the accessible language studio. Effortlessly integrate with various other features in Azure AI Language, alongside Azure Bot Service, to create a comprehensive conversational experience. This conversational language understanding represents the evolution of Language Understanding (LUIS) and enhances the way users interact with technology. As the demand for intuitive communication increases, leveraging this technology can significantly improve user engagement and satisfaction.
Description
TextBlob is a Python library designed for handling textual data, providing an intuitive API to carry out various natural language processing functions such as part-of-speech tagging, sentiment analysis, noun phrase extraction, and classification tasks. Built on the foundations of NLTK and Pattern, it integrates seamlessly with both libraries. Notable features encompass tokenization (the division of text into words and sentences), frequency analysis of words and phrases, parsing capabilities, n-grams, and word inflection (both pluralization and singularization), alongside lemmatization, spelling correction, and integration with WordNet. TextBlob is compatible with Python versions 2.7 and higher, as well as 3.5 and above. The library is actively maintained on GitHub and is released under the MIT License. For users seeking guidance, thorough documentation is readily accessible, including a quick start guide and a variety of tutorials to facilitate the implementation of different NLP tasks. This rich resource equips developers with the tools necessary to enhance their text processing capabilities.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Azure AI Bot Service
Yes
Azure AI Services
Yes
LUIS
Yes
Microsoft Azure
Yes
Microsoft Bot Framework
Yes
NLTK
No
Python
No
Integrations
Azure AI Bot Service
No
Azure AI Services
No
LUIS
No
Microsoft Azure
No
Microsoft Bot Framework
No
NLTK
Yes
Python
Yes
Pricing Details
$2 per month
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
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
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
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/products/ai-services/conversational-language-understanding/
Vendor Details
Company Name
TextBlob
Country
United States
Website
textblob.readthedocs.io/en/dev/
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
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