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What is Watson Natural Language Understanding?

Watson Natural Language Understanding is a cloud-based solution that utilizes advanced deep learning methods to extract metadata from text, such as entities, keywords, categories, sentiment, emotions, relationships, and syntactic structures. Engage deeply with your data through text analysis, allowing for the extraction of keywords, concepts, categories, and beyond. This service can analyze unstructured data in more than thirteen different languages. With its pre-built machine learning models for text mining, it achieves an impressive level of accuracy in processing your content. You have the flexibility to deploy Watson Natural Language Understanding behind your firewall or on any preferred cloud platform. Tailor Watson to understand the unique language of your business and obtain customized insights through Watson Knowledge Studio. Your ownership of data is safeguarded, as we prioritize the security and confidentiality of your information, ensuring that IBM will not collect or retain your data. By leveraging our advanced natural language processing (NLP) tools, developers can effectively decipher and extract significant insights from their unstructured data, thereby improving their decision-making processes. This cutting-edge method not only simplifies data analysis but also empowers organizations to fully exploit their information resources, leading to better strategic outcomes. Organizations that embrace this technology are likely to see enhanced efficiency and innovation across their operations.

What is Deep Talk?

Deep Talk offers a swift solution for transforming text from diverse sources, including chats, emails, surveys, reviews, and social media, into actionable insights for businesses. Our intuitive AI platform enables seamless exploration of customer interactions. By leveraging unsupervised deep learning techniques, we process your unstructured text data to reveal significant insights. Our unique "Deepers," which are specially designed pre-trained deep learning models, facilitate tailored detection within your dataset. With the "Deepers" API, you can conduct real-time text analysis and efficiently categorize conversations or text. This functionality allows you to engage with individuals interested in your product, explore potential new features, or address any concerns they may have. Additionally, Deep Talk provides cloud-based deep learning models as a service, simplifying the process for users to upload their data or connect with compatible services. This process enables the extraction of insightful information from platforms such as WhatsApp, chat conversations, emails, surveys, and social networks. Ultimately, this innovative approach empowers your business to stay ahead by gaining a deeper understanding of customer preferences and sentiments effortlessly. Moreover, by continually refining our technology, we ensure that our users remain equipped with the latest tools for effective communication analysis.

Media

Media

Integrations Supported

BlueJeans
Cisco Webex
Facebook
Fuze
GoTo Meeting
Google Meet
JioMeet
LinkedIn
Microsoft Teams
Skype
Slack
TAS Insight Engine
WhatsApp
Whereby
X (Twitter)
YouTube
Zoom
join.me

Integrations Supported

BlueJeans
Cisco Webex
Facebook
Fuze
GoTo Meeting
Google Meet
JioMeet
LinkedIn
Microsoft Teams
Skype
Slack
TAS Insight Engine
WhatsApp
Whereby
X (Twitter)
YouTube
Zoom
join.me

API Availability

Has API

API Availability

Has API

Pricing Information

$0.003 per NLU item
Free Trial Offered?
Free Version

Pricing Information

$90 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

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

Company Facts

Organization Name

Deep Talk

Company Location

France

Company Website

deeptalk-ai.com

Categories and Features

Emotion Recognition

Facial Emotions
Facial Expression Analysis
Machine Learning
Photo Emotions
Speech Emotions
Video Emotions
Written Text Emotions

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

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

Categories and 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)

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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