Evaluating Lexical Similarity to build Sentiment Similarity - Archive ouverte HAL Access content directly
Conference Papers Year : 2016

Evaluating Lexical Similarity to build Sentiment Similarity


In this article, we propose to evaluate the lexical similarity information provided by word representations against several opinion resources using traditional Information Retrieval tools. Word representation have been used to build and to extend opinion resources such as lexicon, and ontology and their performance have been evaluated on sentiment analysis tasks. We question this method by measuring the correlation between the sentiment proximity provided by opinion resources and the semantic similarity provided by word representations using different correlation coefficients. We also compare the neighbors found in word representations and list of similar opinion words. Our results show that the proximity of words in state-of-the-art word representations is not very effective to build sentiment similarity.
Fichier principal
Vignette du fichier
LREC_2016_VF.pdf (202.43 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01394768 , version 1 (09-11-2016)


  • HAL Id : hal-01394768 , version 1


Grégoire Jadi, Vincent Claveau, Béatrice Daille, Laura Monceaux-Cachard. Evaluating Lexical Similarity to build Sentiment Similarity. Language and Resource Conference, LREC, May 2016, portoroz, Slovenia. ⟨hal-01394768⟩
546 View
273 Download


Gmail Facebook X LinkedIn More