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features
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support

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Description

Leverage artificial intelligence to challenge conventional business thought processes, delivering precise industry insights with high efficiency and reduced operational costs, thus facilitating the digital transformation of organizations. This approach includes capabilities for knowledge extraction and the creation of knowledge graphs and ontologies through unsupervised learning techniques. By effectively mining and analyzing extensive datasets, alongside utilizing established industry knowledge and natural language processing skills, the traditional reliance on human-driven knowledge engineering can be automated, leading to significant enhancements in the efficiency of constructing knowledge maps while lowering the barriers to their creation. Furthermore, a fully proprietary automatic speech recognition (ASR) and text-to-speech (TTS) model, paired with self-gathered training data and state-of-the-art speech recognition algorithms, along with an industry-leading natural language understanding (NLU) model, fine-tunes performance across various business contexts. This comprehensive training platform is designed to facilitate entirely bespoke training tailored to specific verticals, ensuring that businesses can meet their unique challenges effectively. Such innovations not only streamline processes but also empower enterprises to adapt swiftly to changing market demands.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

IBM Cloud No 
Quickwork No 

Integrations

IBM Cloud Yes 
Quickwork Yes 

Pricing Details

No price information available.
Free Trial No 
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 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 Yes 
Live Rep (24/7) No 
Online Support Yes 

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

Emotibot

Founded

2015

Country

China

Website

www.emotibot.com/technology/index.html

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

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

Product Features

Chatbot

Call to Action No 
Context and Coherence No 
Human Takeover No 
Inline Media / Videos No 
Machine Learning No 
Natural Language Processing No 
Payment Integration No 
Prediction No 
Ready-made Templates No 
Reporting / Analytics No 
Sentiment Analysis No 
Social Media Integration No 

Conversational AI

Code-free Development No 
Contextual Guidance No 
For Developers No 
Intent Recognition No 
Multi-Languages No 
Omni-Channel No 
On-Screen Chats No 
Pre-configured Bot No 
Reusable Components No 
Sentiment Analysis No 
Speech Recognition No 
Speech Synthesis No 
Virtual Assistant No 

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 

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 

Alternatives