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What’s Inside a Cluster of Software User Feedback: A Study of Characterisation Methods

What’s Inside a Cluster of Software User Feedback: A Study of Characterisation Methods

Online feedback left by software users can help software teams improve their products. Feedback useful for product improvements exists online in app store reviews, tweets, and many other sources. Understanding the topics mentioned in this feedback is vitally important to maintaining a responsive, attractive software product so development teams know where to focus their product improvements. One way in which topics can automatically be detected is by performing text clustering, a common natural language processing technique that can group similar feedback together.

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Dr Kelly Blincoe joins SfTI Veracity Spearhead

Dr Kelly Blincoe joins SfTI Veracity Spearhead

This month the Science for Technological Innovation National Science Challenge launched the Veracity Spearhead Research project. The $2M two-year project will investigate technology solutions on how to verify something is what it appears to be. We will investigate...

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