Identifying Conflicts Through Emails by Using an Emotion Ontology

Chahnaz Zakaria (1) , Olivier Curé (1) , Kamel Smaïli (2)

1 LIGM - Laboratoire d'Informatique Gaspard-Monge
2 LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

In the logic of text classification, this paper presents an approach to detect emails conflict exchanged between colleagues, who belong to a geographically distributed enterprise. The idea is to inform a team leader of such situation, hence to help him in preventing serious disagreement between team members. This approach uses the vector space model with TF*IDF weight to represent email; and a domain ontology of relational conflicts to determine its categories. Our study also addresses the issue of building ontology, which is made up of two phases. First we conceptualize the domain by hand, then we enrich it by using the triggers model that enables to find out terms in corpora which correspond to different conflicts.

Mots clés: Ontology; email conflicts; Emotions

Domaines: Informatique et langage [cs.CL]

Chahnaz Zakaria, Olivier Curé, Kamel Smaïli. Identifying Conflicts Through Emails by Using an Emotion Ontology. 6th International Workshop on Natural Language Processing and Cognitive Science Collocated with 11th International Conference on Enterprise Information Systems (ICEIS 2009), May 2009, Milano, Italy. ⟨hal-01261615⟩