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Informatics 2014, 1(1), 32-51; doi:10.3390/informatics1010032
Article

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

1,* , 2,* , 1
 and 1
Received: 24 September 2013; in revised form: 11 November 2013 / Accepted: 21 November 2013 / Published: 28 November 2013
(This article belongs to the Special Issue Advances in Natural Language Processing)
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Abstract: 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.
Keywords: text classification; opinion mining; collaborative corpus; collaborative tagging; machine learning text classification; opinion mining; collaborative corpus; collaborative tagging; machine learning
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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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.

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.

Chicago/Turabian Style

Charton, Eric; Meurs, Marie-Jean; Jean-Louis, Ludovic; Gagnon, Michel. 2014. "Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining." Informatics 1, no. 1: 32-51.

Informatics EISSN 2227-9709 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert