{"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/letting-emotions-flow-success-prediction-by","title":"Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books","arxiv_id":"1805.09746","date":"2018-05-24","proceeding":"NAACL 2018 6","authors":["Suraj Maharjan","Sudipta Kar","Manuel Montes-y-Gomez","Fabio A. Gonzalez","Thamar Solorio"],"abstract":"Books have the power to make us feel happiness, sadness, pain, surprise, or\nsorrow. An author's dexterity in the use of these emotions captivates readers\nand makes it difficult for them to put the book down. In this paper, we model\nthe flow of emotions over a book using recurrent neural networks and quantify\nits usefulness in predicting success in books. We obtained the best weighted\nF1-score of 69% for predicting books' success in a multitask setting\n(simultaneously predicting success and genre of books).","url_abs":"http://arxiv.org/abs/1805.09746v2","url_pdf":"http://arxiv.org/pdf/1805.09746v2.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":"letting-emotions-flow-success-prediction-by","repo_url":"https://github.com/sjmaharjan/emotion_flow","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1805.09746","atlas_url":"https://app.syntology.ai/?focus=1805.09746","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}