POPSTAR at RepLab 2013: Name ambiguity resolution on Twitter
POPSTAR at RepLab 2013: Name ambiguity resolution on Twitter
dc.contributor.author | Saleiro,P | en |
dc.contributor.author | Rei,L | en |
dc.contributor.author | Pasquali,A | en |
dc.contributor.author | Carlos Manuel Soares | en |
dc.contributor.author | Teixeira,J | en |
dc.contributor.author | Pinto,F | en |
dc.contributor.author | Mohammad Nozari | en |
dc.contributor.author | Catarina Félix Oliveira | en |
dc.contributor.author | Strecht,P | en |
dc.date.accessioned | 2018-01-19T11:50:10Z | |
dc.date.available | 2018-01-19T11:50:10Z | |
dc.date.issued | 2013 | en |
dc.description.abstract | Filtering tweets relevant to a given entity is an important task for online reputation management systems. This contributes to a reliable analysis of opinions and trends regarding a given entity. In this paper we describe our participation at the Filtering Task of RepLab 2013. The goal of the competition is to classify a tweet as relevant or not relevant to a given entity. To address this task we studied a large set of features that can be generated to describe the relationship between an entity and a tweet. We explored different learning algorithms as well as, different types of features: text, keyword similarity scores between enti-ties metadata and tweets, Freebase entity graph and Wikipedia. The test set of the competition comprises more than 90000 tweets of 61 entities of four distinct categories: automotive, banking, universities and music. Results show that our approach is able to achieve a Reliability of 0.72 and a Sensitivity of 0.45 on the test set, corresponding to an F-measure of 0.48 and an Accuracy of 0.908. | en |
dc.identifier.uri | http://repositorio.inesctec.pt/handle/123456789/7089 | |
dc.language | eng | en |
dc.relation | 5001 | en |
dc.relation | 5054 | en |
dc.relation | 5324 | en |
dc.rights | info:eu-repo/semantics/openAccess | en |
dc.title | POPSTAR at RepLab 2013: Name ambiguity resolution on Twitter | en |
dc.type | conferenceObject | en |
dc.type | Publication | en |
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