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What is Receptiviti?

By examining language, one can reveal a range of personality traits and underlying motivations. Receptiviti connects these traits to the Big Five personality framework, which includes 35 unique personality metrics. Through the evaluation of aspects such as authenticity, influence, and social bonding, individuals can better understand how they interact within social settings. This thorough analysis not only uncovers the motivations driving behavior—be it ambition, the quest for power, a longing for rewards, risk aversion, or a propensity for taking risks—but also highlights harmful or aggressive language that may reflect bias, hate, or violence toward specific groups. Moreover, the ability to determine the authorship of various written works adds significant value in areas such as literary critique, cybersecurity, forensic analysis, and the examination of social media communications. This multifaceted approach ultimately deepens our comprehension of communication across different environments. In an era where digital interactions dominate, the ramifications of these findings are extensive and significant, influencing how we perceive and engage with one another in an interconnected world.

What is IBM Watson Tone Analyzer?

The IBM Watson® Tone Analyzer utilizes advanced linguistic techniques to discern the emotional and tonal qualities embedded within written communication. This powerful tool assesses tone not only at the document level but also within individual sentences, providing users with valuable insights into the interpretation of their messages. By employing this technology, both individuals and organizations can improve their communication skills, adjusting their tone to forge a stronger connection with their audience. Businesses can tap into this analysis to understand the emotional tone of their customers' communications, allowing for timely and appropriate responses that enhance interactions. In this guide, you will learn how to integrate IBM Cloud Functions with cognitive and data services to establish a serverless backend for a mobile application. Furthermore, you can assess the emotional and tonal expressions found in online platforms like social media posts or customer reviews, predicting emotional states such as joy, sadness, or confidence. Moreover, by enabling your chatbot to identify the emotional tones of customers, you can create adaptive dialogue strategies that cater to user preferences, significantly improving the overall experience. Recognizing the subtleties of emotional communication is essential for nurturing stronger client relationships, and this technology empowers users to achieve that goal effectively. Ultimately, understanding these emotional dynamics can lead to more meaningful and impactful interactions.

Media

Media

Integrations Supported

IBM Cloud
Quickwork
Unified.to

Integrations Supported

IBM Cloud
Quickwork
Unified.to

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

Receptiviti

Date Founded

2015

Company Location

Canada

Company Website

www.receptiviti.com/platform

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

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

Categories and Features

Emotion Recognition

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

Categories and Features

Emotion Recognition

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

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