From Emojis to Sentiment Analysis Gaël Guibon, Magalie Ochs, Patrice Bellot To cite this version: Gaël Guibon, Magalie Ochs, Patrice Bellot. From Emojis to Sentiment Analysis. WACAI 2016, Lab-STICC; ENIB; LITIS, Jun 2016, Brest, France. hal-01529708 HAL Id: hal-01529708 https://hal-amu.archives-ouvertes.fr/hal-01529708 Submitted on 31 May 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. From Emojis to Sentiment Analysis Gaël Guibon Magalie Ochs Patrice Bellot Aix Marseille Université, Aix Marseille Université, Aix Marseille Université, CNRS, ENSAM, Université de CNRS, ENSAM, Université de CNRS, ENSAM, Université de Toulon, LSIS UMR7296,13397 Toulon, LSIS UMR7296,13397 Toulon, LSIS UMR7296,13397 Caléa Solutions Marseille Marseille Marseille France France France
[email protected] [email protected] [email protected] ABSTRACT for sentiment analysis, to highlight the different possibilities Studies on Twitter are becoming quite common these years. they offer. [12] Even so, the majority of them did not focused on emoticons, The paper is organised as follow: At first, after defining even less on emojis. An overview of emoticons related work emoticons and emojis (Section 2), we present a categoriza- has been made recently [11].