フジサワ　キミヤ   FUJISAWA, Kimiya   藤澤　公也    所属   メディア学部 メディア学科    職種   准教授
言語種別	英語
発行・発表の年月	2021/04
形態種別	国際会議論文
査読	査読あり
標題	Social Media Emotion Analysis in Indonesian Using Fine-Tuning BERT Model
執筆形態	共著
掲載誌名	3rd 2021 East Indonesia Conference on Computer and Information Technology
掲載区分	国外
出版社・発行元	IEEE
巻・号・頁	pp.334-337
著者・共著者	Esther Irawati Setiawan; Lukas Kristianto; Arya Tandy Hermawan; Joan Santoso; Kimiya Fujisawa; Mauridhi Hery Purnomo
概要	Social media is the leading platform were users' express opinions and emotions. Emotion Analysis aims to identify emotions: happy, sad, angry, fear, disgust, shame, and guilt. InaMoodMeter framework takes the unstructured status of a Facebook user. It processes it to extract emotion from teenage users for self-assessment and to observe emotion related to online customer satisfaction. We also created an Indonesian Dataset for Emotion Analysis from Facebook. The dataset can be utilized as a valuable benchmark for emotion classification in Indonesian. With this dataset, many state-of-the-art approaches are evaluated. We also experimented on the ISEAR Indonesian translated dataset. This research consists of two stages: obtaining training data to build the dataset and performing classification. Our proposed method can achieve the highest accuracy of 79% with the Fine-Tuning Bert Model.