{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/depechemood-a-bilingual-emotion-lexicon-built","title":"DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques","arxiv_id":"1810.03660","date":"2018-10-08","proceeding":null,"authors":["Oscar Araque","Lorenzo Gatti","Jacopo Staiano","Marco Guerini"],"abstract":"Several lexica for sentiment analysis have been developed and made available\nin the NLP community. While most of these come with word polarity annotations\n(e.g. positive/negative), attempts at building lexica for finer-grained emotion\nanalysis (e.g. happiness, sadness) have recently attracted significant\nattention. Such lexica are often exploited as a building block in the process\nof developing learning models for which emotion recognition is needed, and/or\nused as baselines to which compare the performance of the models. In this work,\nwe contribute two new resources to the community: a) an extension of an\nexisting and widely used emotion lexicon for English; and b) a novel version of\nthe lexicon targeting Italian. Furthermore, we show how simple techniques can\nbe used, both in supervised and unsupervised experimental settings, to boost\nperformances on datasets and tasks of varying degree of domain-specificity.","url_abs":"http://arxiv.org/abs/1810.03660v1","url_pdf":"http://arxiv.org/pdf/1810.03660v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"depechemood-a-bilingual-emotion-lexicon-built","repo_url":"https://github.com/prithvi2226/Bilingual-Sentiment-Analysis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":{"status":"ok"}}],"tasks":[{"task_slug":"emotion-recognition","task_name":"Emotion Recognition"},{"task_slug":"sentiment-analysis","task_name":"Sentiment Analysis"},{"task_slug":"specificity","task_name":"Specificity"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=1810.03660","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}