Spdybot: Authenticity Analysis of Opinion and Claim in Online [Thales Innovation Championship 2018]
- RUTURAJ Raval
- Apr 29, 2020
- 1 min read
This project, called Spdybot, presented an end-to-end learning model without any human participation. The team’s proposed solution is capable of mining all opinions available on the web on a certain topic along with relevant evidences so that users can decide the authenticity of each opinion before taking them into account. The user is presented with visual statistics of a list of opinions with supporting and contradicting evidence and a credibility score that they can use to decide if an opinion deserves sufficient authenticity
Presentation slides
Article
Prototype workflow
Handout: UoW Demo day
Handout: Thales presentation day
Prototype application screenshots
Third Prize: Team Rococo Basilisk, University of Windsor (Windsor, Ontario)
Kaival Patel, Ruturaj Raval, Zarreen Naowal Reza
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