Making use of Machine learning now.
Machine learning is not just for boffins or mad scientists. Though an emerging technology, it's a capability you can make use of today.
At it's most basic, Machine learning can be used to classify things; is this sentence negative? is that image a face? is that email spam? Beyond that it can be used to make recommendations, cluster like-minded groups, ranking based on likes & interests and anomaly detection.
We are using the Microsoft Machine learning framework ML.NET not just because our architecture is .NET but also it is an open & extensible model that works with ONNX, Tensorflow & Amazon AWS.
ML.NET is a framework for building custom Machine learning models, making it easy to incorporate with Sensorpro applications.
Machine learning works by training your data with models, evaluating accuracy & then deploying them. We sanity check results against VADER, a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media.
In this version, we make use of Machine learning to provide a Sentiment analysis capability for our Net Promoter Score (NPS) tool.
Machine learning based Sentiment analysis of Net Promoter Score (NPS) comments can help provide a more accurate picture of detractors and promoters. With this new intelligence you can provide more nuanced Customer messaging, for example.
Machine learning is available today in your Sensorpro account, look for in the Comment analysis report!
Machine learning: Sentiment analysis output
