Sentiment analysis has benefited from the availability of lexicons and benchmark datasets
created over decades of research. However, its applications to the real world are a driving …

Extracting opinions and emotions from text is becoming increasingly important, especially
since the advent of micro-blogging and social networking. Opinion mining is particularly …

This article illustrates the progresses made in representing a multilingual and multi-
alphabetical Old Occitan medico-botanical lexicon in the context of the project Dictionnaire …

Inside the NLP community there is a considerable amount of language resources created,
annotated and released every day with the aim of studying specific linguistic phenomena …

Sentiment research encompasses all aspects of identifying, interpreting, and evaluating
people's attitudes toward different events, problems, administrations, or other topics …

Abstract Language resource interoperability is still a major challenge in sentiment analysis.
One of the current trends for solving this issue is the adoption of a linked data perspective for …

The aim of this article is to present a model for representing in an explicit and formal way the
diachronic evolution of concepts and terms in a given domain, so that this formalization can …

Sentiment analysis has benefited from the availability of lexicons and benchmark datasets
created over decades of research. However, its applications to the real world are a driving …

The immense contribution of the social web has greatly motivated researchers. This led to
the emergence of techniques that have proven their effectiveness in customised opinion and …

Résumé Les embeddings sont des représentations populaires permettant le calculer des
similarités sémantiques et syntaxiques entre les unités linguistiques à partir de la matrice de …