Joan Codina-Filbà

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This paper describes the system implemented by Fundació Barcelona Media (FBM) for classifying the polarity of opinion expressions in tweets and SMSs, and which is supported by a UIMA pipeline for rich linguistic and sentiment annotations. FBM participated in the SEMEVAL 2013 Task 2 on polarity classification. It ranked 5th in Task A (constrained track)(More)
The importance of collocations in the context of second language learning is generally acknowledged. Studies show that the " collocation density" in learner corpora is nearly the same as in native corpora, i.e., that use of collocations by learners is as common as it is by native speakers, while the collocation error rate in learner corpora is about ten(More)
Text mining of massive Social Media postings presents interesting challenges for NLP applications due to sparse interpretation contexts, grammatical and orthographical variability as well as its very fragmentary nature. No single methodological approach can be expected to work across such diverse typologies as twitter micro-blogging, customer reviews,(More)
Concept extraction is an increasingly popular topic in deep text analysis. Concepts are individual content elements. Their extraction offers thus an overview of the content of the material from which they were extracted. In the case of domain-specific material , concept extraction boils down to term identification. The most straightforward strategy for term(More)
In this paper we present an overview of a UIMA-based system for Sentiment Analysis in hotel customer reviews. It extracts object-opinion/attribute-polarity triples using a variety of UIMA modules, some of which are adapted from freely available open source components and others developed fully in-house. A Solr based graphical interface is used to explore(More)
This paper presents an implementation of the widely used speech analysis tool Praat as a web application with an extended functionality for feature annotation. In particular, Praat on the Web addresses some of the central limitations of the original Praat tool and provides (i) enhanced visualization of annotations in a dedicated window for feature(More)
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