DAEDALUS at RepLab 2014: Detecting RepTrak reputation dimensions on tweets
| Data(s) |
2014
|
|---|---|
| Resumo |
This paper describes our participation at the RepLab 2014 reputation dimensions scenario. Our idea was to evaluate the best combination strategy of a machine learning classifier with a rule-based algorithm based on logical expressions of terms. Results show that our baseline experiment using just Naive Bayes Multinomial with a term vector model representation of the tweet text is ranked second among runs from all participants in terms of accuracy. |
| Formato |
application/pdf |
| Identificador | |
| Idioma(s) |
eng |
| Publicador |
E.T.S.I. Telecomunicación (UPM) |
| Relação |
http://oa.upm.es/35361/1/INVE_MEM_2014_192840.pdf info:eu-repo/semantics/altIdentifier/doi/null |
| Direitos |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
| Fonte |
5th Conference and Labs of the Evaluation Forum (CLEF 2014) Information Access Evaluation meets Multilinguality, Multimodality, and Interaction | 5th Conference and Labs of the Evaluation Forum (CLEF 2014) Information Access Evaluation meets Multilinguality, Multimodality, and Interaction | 15/09/2014 - 18/09/2014 | Sheffield, UK |
| Palavras-Chave | #Filología #Informática #Telecomunicaciones |
| Tipo |
info:eu-repo/semantics/conferenceObject Ponencia en Congreso o Jornada PeerReviewed |
