A targeted way to get deeper insights.
Most comment analysis tools use a generic one-size-fits-all approach usually based on customer experience machine learning models. However, when you look at the employee or student journey, they’re made up of specific components around experience and learning.
With BlueML, you can leverage three specialized models that will accurately consume and analyze comments from each area along the student and employee journeys, giving you context specific categorization.
- Work-life balance
- Job security
- Work at home
- Learning activities
- Training material
Go a step beyond comment categorization.
BlueML includes several supporting models to help you dig deeper into open text comments, so you get the context you need to help illuminate blind spots.
Get an accurate view of the overall sentiments in employee and student comments (Very negative, negative, neutral, positive, very positive, ambiguous)
Gain insights about what emotions employees and students have expressed in their comments (joy, sadness, disgust, anger, guilt, shame, fear).
Go beyond categories to find out if a comment is a formative forward-looking recommendation of what you should start, stop, and continue doing.
Look at patterns of employee and student feedback and detect behavior so you can get ahead of any issues before it is too late.
What sets BlueML apart?
BlueML uses proprietary machine learning models built for the employee and student journey and includes real comments and scenarios. What does that mean? It means that BlueML models will continue to learn and improve over time, giving you the richest insights possible. It can be leveraged for any comments captured within the Blue experience management platform or other solutions.
Get a complete picture of the employee and student journey with BlueML specialized models (EEC, ELC, SLC, Polarity, Recommendations).
Automatically capture, categorize, analyze, and predict from open text comments – whether from internal surveys and/or external sites.
Go beyond sentiments to identify if comments relate to key Learning and HR themes to better understand the most common topics and trends.
Leverage support for multiple attributes and categories per comment for more specific and in-depth insights.
Access models that cover more than a hundred Learning and HR validated categories and modeled with more than 700,000 real comments.
Filter BlueML insights by any demographic or response based context, and group the data to identify patterns, trends, and correlations in comments.
Export the analysis result of one specific attribute, only the comments that have been categorized, or all the analyzed text into an excel worksheet.
Third party integration
BlueML dashboard can be integrated into all Blue solutions, but also comes as a standalone app.
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