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AI Sentiment Analysis

Analyze call recordings and chat conversations both
internally and externally to gain communication insights.

AI Sentiment Analysis

Analyze call recordings and chat conversations both internally and externally to gain communication insights.

AI Sentiment Analysis
Benefits

hiring

Improve
employee experience

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.

negotiation

Manage the
negative
behavior

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.

business_idea

Spreading
positive
behavior

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.

working_employee

Improve the
remote
working
experience

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.

cooperation

Improve
customer
satisfaction

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.

AI Sentiment Analysis
Use Cases

Detect places that need to be improved in any customer-facing situation & prioritize top customer service issues
Customer Success / Support Managers
Sentiment analysis is an extremely useful tool in the customer service field as it allows businesses to improve their direct communications with their customers. Sentiment analysis can also help businesses prioritize their customer support issues by identifying and handling the most negative feedback first, which in turn would help businesses retain and appease their customers by providing quick answers.
Detect places that need to be improved in any customer-facing situation & prioritize top customer service issues
Facilitate the work of the HR Managers
HR Manager
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.
Facilitate the work of the HR Managers
Identify intercommunication between employees - Personal Insights
Employees
Employee reports help an employee view their relationship with other employees within the organization. Employees can also see their communication trends with their colleagues.
Identify intercommunication between employees - Personal Insights

How does Sentiment Analysis Work?

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

Natural Language Processing

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.

Machine Learning

Using existing data, machines are trained to recognize patterns in new data sets to predict the sentiment behind that text and automatically classify it as positive, negative, or neutral

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Har-Hotzvim Hi-Tech Park, Jerusalem, Israel