XRCE at SemEval-2016 Task 5: Feedbacked Ensemble Modeling on Syntactico-Semantic Knowledge for Aspect Based Sentiment Analysis
Published 1 January 2016Open access
Caroline Brun, Julien Pérez, Claude Roux
Citations58
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TL;DR
The different components of the system are described, based on composite models combining sophisticated linguistic features with Machine Learning algorithms, which implies opinion target expression detection, aspect category and polarity classification.
Abstract
This paper presents our contribution to the Se-mEval 2016 task 5: Aspect-Based Sentiment Analysis. We have addressed Subtask 1 for the restaurant domain, in English and French, which implies opinion target expression detection, aspect category and polarity classification. We describe the different components of the system, based on composite models combining sophisticated linguistic features with Machine Learning algorithms, and report the results obtained for both languages.
Keywords
Computer Science
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