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Chapitre D'ouvrage Année : 2015

A new linguistic approach to assess the opinion of users in social network environments

Une nouvelle approche linguistique pour évaluer l'opinion des usagers dans les réseaux sociaux

Résumé

This article describes an automated technique that allows to differentiate texts expressing a positive or a negative opinion. The basic principle is based on the observation that positive texts are statistically shorter than negative ones. From this observation of the psycholinguistic human behavior, we derive a heuristic that is employed to generate connoted lexicons with a low level of prior knowledge. The lexicon is then used to compute the level of opinion of an unknown text. Our primary motivation is to reduce the need of the human implication (domain and language) in the generation of the lexicon in order to have a process with the highest possible autonomy. The resulting adaptability would represent an advantage with free or approximate expression commonly found in social networks environment.
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Dates et versions

hal-01252754 , version 1 (08-01-2016)

Identifiants

Citer

Luigi Lancieri, Eric Leprêtre. A new linguistic approach to assess the opinion of users in social network environments. Przemysław Kazienko, Nitesh Chawla. Application of Social Media and Social Network Analysis, Springer International Publishing, pp 143-158, 2015, Lecture Notes in Social Networks, 978-3-319-19002-0. ⟨10.1007/978-3-319-19003-7_8⟩. ⟨hal-01252754⟩
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