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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

The expert.ai platform serves as an advanced suite for automating processes and discovering knowledge within enterprises. This innovative solution empowers professionals in business, analytics, and process management to create, implement, and deploy applications that harness Natural Language Understanding (NLU) effectively. With a user-friendly development environment, it streamlines the integration of NLU and machine learning capabilities, enhancing business outcomes across a variety of scenarios. The expert.ai NL API provides an extensive array of language analysis tools, enabling developers and data scientists to effortlessly construct NLP applications that achieve profound language comprehension with exceptional precision. By leveraging these powerful features, organizations can significantly enhance their operational efficiencies and decision-making processes.

Description

Watson Natural Language Understanding is a cloud-native solution that leverages deep learning techniques to derive metadata from text, including entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Delve into the topics within your data through text analysis, which enables the extraction of keywords, concepts, categories, and more. The service supports the analysis of unstructured data across over thirteen different languages. With ready-to-use machine learning models for text mining, it delivers a remarkable level of accuracy for your content. You can implement Watson Natural Language Understanding either behind your firewall or on any cloud platform of your choice. Customize Watson to grasp the specific language of your business and pull tailored insights using Watson Knowledge Studio. Your data ownership is preserved, as we prioritize the security and confidentiality of your information, ensuring that IBM will neither collect nor store your data. By employing our sophisticated natural language processing (NLP) tools, developers are equipped to process and uncover valuable insights from their unstructured data, ultimately enhancing decision-making capabilities. This innovative approach not only streamlines data analysis but also empowers organizations to harness the full potential of their information assets.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

RevenueBase Yes 
SYSTRAN Yes 
TAS Insight Engine No 

Integrations

RevenueBase No 
SYSTRAN No 
TAS Insight Engine Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$0.003 per NLU item
First 1-250,000 items
Free Trial No 
Free Version Yes 

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 No 
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 No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Expert.ai

Country

United States

Website

www.expert.ai/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/watson-natural-language-understanding

Product Features

Data Mining

Data Extraction Yes 
Data Visualization Yes 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining 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 

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 

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