DAEDALUS at RepLab 2014: Detecting RepTrak reputation dimensions on tweets

Pablo Sánchez, César de and García Morera, Janine and Villena Román, Julio and González Cristóbal, José Carlos (2014). DAEDALUS at RepLab 2014: Detecting RepTrak reputation dimensions on tweets. In: "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. pp. 1505-1511.

Description

Title: DAEDALUS at RepLab 2014: Detecting RepTrak reputation dimensions on tweets
Author/s:
  • Pablo Sánchez, César de
  • García Morera, Janine
  • Villena Román, Julio
  • González Cristóbal, José Carlos
Item Type: Presentation at Congress or Conference (Article)
Event Title: 5th Conference and Labs of the Evaluation Forum (CLEF 2014) Information Access Evaluation meets Multilinguality, Multimodality, and Interaction
Event Dates: 15/09/2014 - 18/09/2014
Event Location: Sheffield, UK
Title of Book: 5th Conference and Labs of the Evaluation Forum (CLEF 2014) Information Access Evaluation meets Multilinguality, Multimodality, and Interaction
Date: 2014
Subjects:
Freetext Keywords: RepLab, CLEF, reputation analysis,reputation dimensions , machine learning classifier, Naive Bayes Multinomial, rule-based approach, hybrid approach, combination
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería de Sistemas Telemáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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.

More information

Item ID: 35361
DC Identifier: http://oa.upm.es/35361/
OAI Identifier: oai:oa.upm.es:35361
Deposited by: Memoria Investigacion
Deposited on: 27 May 2015 17:50
Last Modified: 27 May 2015 17:50
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