Identify employee sentiment toward culture, reviews, communications, and more.
Employee Sentiment Analysis
Interpret & analyze emotion
Sentiment analysis is the interpretation and classification of emotions (positive, negative, and neutral) within text data using text analysis techniques. Internal sentiment analysis allows organizations to identify emotions towards company culture, the success of communications, behaviors, and more.
Understanding your colleagues’ emotions is essential for organizations, using our employee intranet allows colleagues to express their thoughts and feelings more openly than ever before, and analyzing this output is critical. Our machine learning software automatically analyses employee feedback, from survey responses to social media conversations, you are able to listen attentively to their messaging, and tailor objectives, comms, and reviews to meet their needs.
Types of sentiment analysis
Sentiment analysis models focus on positive, negative, and neutral, but also on feelings and emotions angry, happy, sad, etc. Our software even analyses intentions e.g. interested v. not interested. Giving all of this data in one easy-to-consume dashboard and report.
This type of sentiment analysis uses a complex machine learning algorithm and aims at detecting emotions, like happiness, frustration, anger, sadness, and so on. It is important to understand how people within a business are feeling. It helps link activity to impact on engagement and means that trends can be found. Providing feedback helps with the improvement loop for the company and the application.
Why Analyse The Sentiment of Employees?
Improve employee engagement
While organizations are eager to increase spend on customer data and recognizing the return on investment, many still lag behind in applying the same level of structure and analysis to their internal processes. It is increasingly clear that performance reviews and annual surveys alone aren’t enough to get a true pulse on your organization anymore.
You no longer need to guess what employees are feeling, you can accurately measure it, analyze it and act on it.
Linking sentiment to performance outcomes and start predicting future sentiment and make more data-driven decisions to improve the productivity, engagements, and commitment of your workforce.
How to introduce sentiment analysis technology
Whilst our cloud HR software provides HR and managers with many sophisticated reports, it’s not a complete replacement for face-to-face communication. There still needs to be an element of human interaction and analysis. The beauty of machine learning is that the tools grow smarter the more information you feed them.
Registering your sentiment whilst you are anywhere on the platform is easy. simply look for the faces in the Menu bar and select how you would rate your feeling.
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