AI Sentiment Analysis

Unveiling insights beyond words

AI Sentiment Analysis Benefits

Improve employee experience and boost productivity

Companies can understand how their employees feel by analyzing the messages and conversations of their employees which in turn helps cut off the employee turnover rate and increase the organization’s productivity.                                                                    

Spreading positive behavior to other parts of the company

By viewing employee reports of most negative/positive communication Sphereshield’s AI Sentiment Analysis data helps businesses promote positive behavior in the workplace by comparing employees’ performances and encouraging everyone to improve.

Improve customer satisfaction

Understanding the customers’ emotions can empower your employees with the knowledge that can help them better serve the customers. The customer-facing team can therefore offer proactive solutions to increase customer satisfaction.

Improve the remote working experience

Giving visibility to employee communication with others while working remotely, will help employees stay connected to their team and improve their collaboration with others.                                           

Manage the negative behavior of employees

Businesses need to make sure that every employee who is communicating directly with customers is giving an excellent service level. Sphereshield’s AI Sentiment Analysis engine can help businesses identify negative behavior and detect meetings that need some attention due to a large amount of negativity.

Built for every knowledge
worker across your team

Customer Success/Support Managers

Detect places that need to be improved in any customer-facing situation & prioritize top customer service issues

Customer Success / Support Managers

Sentiment analysis is valuable in customer service, enhancing direct communication and prioritizing issues to retain and satisfy customers through quick responses. It helps businesses improve by identifying negative feedback and addressing it promptly, leading to customer retention and appeasement.

HR Manager

Facilitate the work of the HR Managers

HR Managers

Sentiment analysis helps HR managers make decisions and organizational changes based on employee feedback/satisfaction to promote proactive operation before any periodic interview or conversation.


Identify intercommunication between employees - personnel insights


Employee reports help an employee view their relationship with other employees within the organization. Employees can also see their communication trends with their colleagues.

Natural Language Processing

How does Sentiment Analysis work?

AI sentiment analysis combines Natural Language Processing (NLP) and Machine Learning.

NLP uses computer-based methods that analyze the human language used in communications. In order for machines to understand the text and speech used by humans.

Some NLP techniques need to be put in place, including Tokenization, Stemming, and Part-of-Speech (POS) Tagging. After the natural language processing is completed the text will be ready for the classification process of machine learning.

Supported services