Spdybot: Authenticity Analysis of Opinion and Claim in Online [Thales Innovation Championship 2018]

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







 
SIC EN FINAL
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Article

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prototype
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Prototype workflow


 
Handouts CS demo day4
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Handout: UoW Demo day


 
Spdybot handout_final
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Handout: Thales presentation day


 

Prototype application screenshots

 
Third Prize: Team Rococo Basilisk, University of Windsor (Windsor, Ontario)
Kaival Patel, Ruturaj Raval, Zarreen Naowal Reza
 

#OpinionMining, #ArtificialIntelligence, #Authenticity, #NaturalLanguageProcessing

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