Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

The IBM Watson® Tone Analyzer employs linguistic analysis techniques to identify emotional and language tones present in written text. This tool is capable of assessing tone at both the document and sentence levels, allowing users to gain insights into how their written messages are interpreted. By utilizing this service, individuals and businesses can enhance their communication effectiveness, tailoring their tone to better connect with their audience. Companies can leverage this analysis to gauge the tone of their customers' messages, enabling them to respond appropriately and foster improved interactions. In this tutorial, you will discover how to utilize IBM Cloud Functions along with cognitive and data services to create a serverless back end for a mobile app. You can also analyze emotions and tones expressed in online content, such as tweets or reviews, predicting emotional states like happiness, sadness, or confidence. Additionally, equipping your chatbot with the ability to recognize customer tones will allow you to devise dialogue strategies that can adapt conversations to better meet customer needs, ultimately enhancing the overall user experience. Understanding emotional nuances in communication is crucial for building stronger relationships with clients.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

IBM Cloud
Quickwork
TAS Insight Engine

Integrations

IBM Cloud
Quickwork
TAS Insight Engine

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.003 per NLU item
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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/cloud/watson-tone-analyzer

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

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

Product Features

Emotion Recognition

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

Product 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

Alternatives

Alternatives

Azure Face API Reviews

Azure Face API

Microsoft