CSC/ECE 517 Spring 2019 - Project E1937. Integrate suggestion detection algorithm.rb: Difference between revisions

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Peer-review systems like Expertiza utilize a lot of students’ input to determine each other’s performance. At the same time, we hope students learn from the reviews they receive to improve their own performance. In order to make this happen, we would like to have everyone give quality reviews instead of generic ones. Currently we have a few classifiers that can detect useful features of review comments, such as how many suggestions they contain. The suggestion-detection algorithm has been coded as a web service, and other detection algorithms will be so coded in the future.
Peer-review systems like Expertiza utilize a lot of students’ input to determine each other’s performance. At the same time, we hope students learn from the reviews they receive to improve their own performance. In order to make this happen, we would like to have everyone give quality reviews instead of generic ones. Currently we have a few classifiers that can detect useful features of review comments, such as how many suggestions they contain. The suggestion-detection algorithm has been coded as a web service, and other detection algorithms will be so coded in the future.
====Previous work====
====Previous work====
[https://github.com/expertiza/expertiza/pull/1308 Fall 2018 pull request]
====Proposed changes====
====Proposed changes====
* Move API calls of suggestion-detection algorithm from view to response_controller.rb
* Move API calls of suggestion-detection algorithm from view to response_controller.rb

Revision as of 16:40, 7 April 2019

Introduction

Team

Dr. Gehringer (mentor)

  • Sushan Basnet (sbasnet2)
  • Jasmine Wang (jfwang2)
  • Bill Mwaniki (bnmwanik)
  • Pratik Kumar Kundanmal Jain (pjain22)

Project

Task

Problem statement

Peer-review systems like Expertiza utilize a lot of students’ input to determine each other’s performance. At the same time, we hope students learn from the reviews they receive to improve their own performance. In order to make this happen, we would like to have everyone give quality reviews instead of generic ones. Currently we have a few classifiers that can detect useful features of review comments, such as how many suggestions they contain. The suggestion-detection algorithm has been coded as a web service, and other detection algorithms will be so coded in the future.

Previous work

Fall 2018 pull request

Proposed changes

  • Move API calls of suggestion-detection algorithm from view to response_controller.rb
  • Change default view from displaying analysis for each review to summarized analysis for all reviews
    • Do not include comment text in analysis view
  • Include displaying analysis for each review as a "debug" option
  • Ensure that CORS does not need to be enabled for API call to work
  • Write unit tests for our method(s) in response_controller.rb
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