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Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining

1
Ecole Polytechnique de Montréal, Montréal, QC H3T 1J4, Canada
2
Centre for Structural and Functional Genomics, Concordia University, Montréal,QC H4B 1R6, Canada
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Authors to whom correspondence should be addressed.
Informatics 2014, 1(1), 32-51; https://doi.org/10.3390/informatics1010032
Received: 24 September 2013 / Revised: 11 November 2013 / Accepted: 21 November 2013 / Published: 28 November 2013
(This article belongs to the Special Issue Advances in Natural Language Processing)
Numerous initiatives have allowed users to share knowledge or opinions using collaborative platforms. In most cases, the users provide a textual description of their knowledge, following very limited or no constraints. Here, we tackle the classification of documents written in such an environment. As a use case, our study is made in the context of text mining evaluation campaign material, related to the classification of cooking recipes tagged by users from a collaborative website. This context makes some of the corpus specificities difficult to model for machine-learning-based systems and keyword or lexical-based systems. In particular, different authors might have different opinions on how to classify a given document. The systems presented hereafter were submitted to the D´Efi Fouille de Textes 2013 evaluation campaign, where they obtained the best overall results, ranking first on task 1 and second on task 2. In this paper, we explain our approach for building relevant and effective systems dealing with such a corpus. View Full-Text
Keywords: text classification; opinion mining; collaborative corpus; collaborative tagging; machine learning text classification; opinion mining; collaborative corpus; collaborative tagging; machine learning
MDPI and ACS Style

Charton, E.; Meurs, M.-J.; Jean-Louis, L.; Gagnon, M. Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining. Informatics 2014, 1, 32-51. https://doi.org/10.3390/informatics1010032

AMA Style

Charton E, Meurs M-J, Jean-Louis L, Gagnon M. Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining. Informatics. 2014; 1(1):32-51. https://doi.org/10.3390/informatics1010032

Chicago/Turabian Style

Charton, Eric, Marie-Jean Meurs, Ludovic Jean-Louis, and Michel Gagnon. 2014. "Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining" Informatics 1, no. 1: 32-51. https://doi.org/10.3390/informatics1010032

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