Predicting Readers' Emotional States Induced by News Articles through Latent Semantic Analysis

Abstract : With the increasing spread of the social web, identifying emotions in texts has proved to have various applications in fields like opinion mining or market analysis. Emotion recognition from written statements does not only reveal information about the person who wrote them, but can also be used in predicting how the emotional state of the readers can be affected. We propose a novel automatic method for analyzing texts that predicts how reading a news article can influence in turn the emotional state of the reader. This method integrates several word-count approaches and natural language processing techniques, such as Latent Semantic Analysis. Moreover, our implemented system contains a module designed to personalize the provided feedback according to the reader's current emotional state. A preliminary validation has been performed and results are promising.
Type de document :
Communication dans un congrès
1st Int. Conf. Social Media in Academia: Research and Teaching (SMART 2013), 2013, Bacau, Romania. Medimond-Monduzzi, 2013, 〈http://smart2013.edusoft.ro/index.php〉
Liste complète des métadonnées

Littérature citée [12 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01471170
Contributeur : Philippe Dessus <>
Soumis le : dimanche 19 février 2017 - 12:14:26
Dernière modification le : jeudi 21 juin 2018 - 15:28:05

Fichier

Lupan Smart 2013 final.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01471170, version 1

Collections

TICE | LSE | UGA

Citation

Diana Lupan, Stefan Bobocescu-Kesikis, Mihai Dascalu, Stefan Trausan-Matu, Philippe Dessus. Predicting Readers' Emotional States Induced by News Articles through Latent Semantic Analysis. 1st Int. Conf. Social Media in Academia: Research and Teaching (SMART 2013), 2013, Bacau, Romania. Medimond-Monduzzi, 2013, 〈http://smart2013.edusoft.ro/index.php〉. 〈hal-01471170〉

Partager

Métriques

Consultations de la notice

111

Téléchargements de fichiers

107