DAEDALUS at SemEval-2014 Task 9: Comparing approaches for sentiment analysis in twitter

Villena Román, Julio and García Morera, Janine and González Cristóbal, José Carlos (2014). DAEDALUS at SemEval-2014 Task 9: Comparing approaches for sentiment analysis in twitter. In: "8th International Workshop on Semantic Evaluation (SemEval 2014)", 23/08/2014 - 24/08/2014, Dublin, Ireland. pp. 218-222.

Description

Title: DAEDALUS at SemEval-2014 Task 9: Comparing approaches for sentiment analysis in twitter
Author/s:
  • Villena Román, Julio
  • García Morera, Janine
  • González Cristóbal, José Carlos
Item Type: Presentation at Congress or Conference (Article)
Event Title: 8th International Workshop on Semantic Evaluation (SemEval 2014)
Event Dates: 23/08/2014 - 24/08/2014
Event Location: Dublin, Ireland
Title of Book: 8th International Workshop on Semantic Evaluation (SemEval 2014)
Date: 2014
Subjects:
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 SemEval- 2014 sentiment analysis task, in both contextual and message polarity classification. Our idea was to com- pare two different techniques for sentiment analysis. First, a machine learning classifier specifically built for the task using the provided training corpus. On the other hand, a lexicon-based approach using natural language processing techniques, developed for a ge- neric sentiment analysis task with no adaptation to the provided training corpus. Results, though far from the best runs, prove that the generic model is more robust as it achieves a more balanced evaluation for message polarity along the different test sets.

More information

Item ID: 35358
DC Identifier: https://oa.upm.es/35358/
OAI Identifier: oai:oa.upm.es:35358
Deposited by: Memoria Investigacion
Deposited on: 27 May 2015 18:45
Last Modified: 27 May 2015 18:45
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