Find out how EngageRocket uses Natural Language Processing (NLP) to automate HR efforts while evaluating qualitative feedback.
In recent years, digitisation in HR has brought about a surge in many HR tools and analytics. Now it is all about data that we can capitalise on to better understand our employees. At EngageRocket, we take pride in presenting data in ways that are easier for everyone to use. Through state-of-the-art artificial intelligence and machine learning, our Topic Analysis categorises employees' open-ended responses into topics for you to easily navigate the comments and identify key areas of focus.
Specifically, Topic Analysis is a natural language processing technique (NLP) that allows you to gain a better understanding of open-ended responses. Our methodology has the following features: 1. Allows for multiple topics to be tagged to a single open-ended response, especially if the response covers various topics 2. Greater accuracy in tagging appropriate topics to the open-ended responses which were achieved by training the model using thousands of data points 3. Applying the topic analysis to responses in 75 languages EngageRocket saves you hours of manual work and effort from skimming through and making sense of all open-ended responses for you to focus on areas that matter the most.
To view the topics that emerge from the open-ended responses and which open-ended responses fall under them, select "Responses by topics".
A sample of the output of Topic Analysis for open-ended responses is shown below:
In addition, you may add, remove or edit the topic assigned to a response simply by clicking on the Edit button. This provides you with the flexibility to include custom topics, that are relevant to your organization's context.
It's 2022 and we at EngageRocket are excited about all that we have planned for you this year. Along with a new set of HR solutions focused on retaining employees, we are also soon upgrading to a research-backed State-of-the-art (SoTA) Natural Language Processing (NLP) that's going to help reduce your workload.
This model has trained off hundreds of thousands of employee information and covers over 75 languages.
To know more on how to use this feature on EngageRocket, refer to this step-by-step guide on Topic analysis for open-ended responses or reach out to your Customer Success Manager.