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

Journal Title: Informatics - Year 2014, Vol 1, Issue 1

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 DEfi ´ 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.

Authors and Affiliations

Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis and Michel Gagnon

Keywords

Related Articles

Designing the Learning Experiences in Serious Games: The Overt and the Subtle—The Virtual Clinic Learning Environment

Serious Games are becoming more common in the educational setting and must pass muster with both students and instructors for their learning experience and knowledge building. The Virtual Clinic Learning Environment ha...

Building Realistic Mobility Models for Mobile Ad Hoc Networks

A mobile ad hoc network (MANET) is a self-configuring wireless network in which each node could act as a router, as well as a data source or sink. Its application areas include battlefields and vehicular and disaster a...

Development and Evaluation of a Mobile Application Suite for Enhancing the Social Inclusion and Well-Being of Seniors

Smart mobile devices, due to their ubiquitous nature and high level penetration in everyday life, can be a key component of an Ambient Assisted Living system to improve the quality of life of older people. This paper p...

Skills and Vacancy Analysis with Data Mining Techniques

Through recognizing the importance of a qualified workforce, skills research has become one of the focal points in economics, sociology, and education. Great effort is dedicated to analyzing labor demand and supply, an...

Identifying Opportunities to Integrate Digital Professionalism into Curriculum: A Comparison of Social Media Use by Health Profession Students at an Australian University in 2013 and 2016

Social media has become ubiquitous to modern life. Consequently, embedding digital professionalism into undergraduate health profession courses is now imperative and augmenting learning and teaching with mobile technol...

Download PDF file
  • EP ID EP44035
  • DOI https://doi.org/10.3390/informatics1010032
  • Views 294
  • Downloads 0

How To Cite

Eric Charton, Marie-Jean Meurs, Ludovic Jean-Louis and Michel Gagnon (2014). Using Collaborative Tagging for Text Classification: From Text Classification to Opinion Mining. Informatics, 1(1), -. https://europub.co.uk/articles/-A-44035