Context incorporation using context-aware language features

Vlachostergiou, Aggeliki and Marandianos, George and Kollias, Stefanos (2017) Context incorporation using context-aware language features. In: European Conference on Signal Processing, 28/8-2/9/2017, Kos, Greece.

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Item Type:Conference or Workshop contribution (Poster)
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Abstract

This paper investigates the problem of context incorporation into human language systems and particular in Sentiment Analysis (SA) systems. So far, the analysis of how different features, when incorporated into such systems, improve their performance, has been discussed in a number of studies. However, a complete picture of their effectiveness remains unexplored.
With this work, we attempt to extend the pool of the context - aware language features at the sentence level and to provide the foundations for a concise analysis of the importance of the various types of contextual features, using data from two different in type and size datasets: the Movie Review Dataset (MR) and the Finegrained Sentiment Dataset (FSD).

Keywords:Human language technology, Sentiment Analysis, Context - aware language features, CRF, discourse RST
Subjects:G Mathematical and Computer Sciences > G440 Human-computer Interaction
G Mathematical and Computer Sciences > G760 Machine Learning
Divisions:College of Science > School of Computer Science
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ID Code:30095
Deposited On:12 Mar 2018 14:53

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