Aiding the platform of decidim.barcelona: clustering of proposals

dc.contributor.author González, Esther
dc.date.accessioned 2018-12-17T09:54:51Z
dc.date.available 2018-12-17T09:54:51Z
dc.date.issued 2018-09
dc.description Treball fi de màster de: Master in Intelligent Interactive Systemsca
dc.description Tutor: Vicenç Gómez
dc.description.abstract Decidim Barcelona is an online participatory-democracy platform that boosts citizens participation to draw The Municipality Plan. A key step to build this plan is the selection of the proposals that will be included. This requires a manual selection and grouping of proposals that intend to tackle the same issue. The use of machine learning can speed up this process as well as improve user experience suggesting similar proposals, also decreasing the number of duplication. We have experimented several techniques to discover which one better solves the problem of automatically grouping similar proposals.ca
dc.format.mimetype application/pdf*
dc.identifier.uri http://hdl.handle.net/10230/36104
dc.language.iso engca
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRights info:eu-repo/semantics/openAccessca
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.keyword E-democracy
dc.subject.keyword Machine learning
dc.subject.keyword Text clustering
dc.subject.keyword Decidim-barcelona
dc.subject.other Aprenentatge automàtic
dc.title Aiding the platform of decidim.barcelona: clustering of proposalsca
dc.type info:eu-repo/semantics/masterThesisca

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