Tagging Review Comments Rationale #10 Week 13

The goals Improve reviews Derive peer grades

Sentiment analysis

Machine learning and peer grading So many factors to consider … Calibration – Text metrics Assigned scores – Your own score How should these be combined? Study which are

The goal: grade like instructor grades

Classifying review text with Tensorflow These features can be detected by humans, or by NLP algorithms, with varying degrees of success. However, rule-based algorithms cannot identify these features very well, since it is difficult to define rules that cover all possible use cases. A machine learning algorithm such as deep neural networks, on the other hand, could learn from labeled data and improve over time. We are using the Tensorflow framework to implement such a component that is able to identify useful feedback features.

Comment tagging in Expertiza

Comment tagging in Expertiza