In this article, we propose to evaluate the lexical similarity information provided by word representations against several opinion resources#R##N#using traditional Information Retrieval tools. Word representation have been used to build and to extend opinion resources such as#R##N#lexicon, and ontology and their performance have been evaluated on sentiment analysis tasks. We question this method by measuring the#R##N#correlation between the sentiment proximity provided by opinion resources and the semantic similarity provided by word representations#R##N#using different correlation coefficients. We also compare the neighbors found in word representations and list of similar opinion words.#R##N#Our results show that the proximity of words in state-of-the-art word representations is not very effective to build sentiment similarity.
['Grégoire Jadi', 'Vincent Claveau', 'Béatrice Daille', 'Laura Monceaux']
Evaluating Lexical Similarity to build Sentiment Similarity