EmoMap: Emotion Mapping in Semantic Space

Research Project

Project/Area Number	24K21058
Research Category	Grant-in-Aid for Early-Career Scientists
Allocation Type	Multi-year Fund
Review Section	Basic Section 90020:Library and information science, humanistic and social informatics-related
Research Institution	Waseda University
Principal Investigator	OHMAN Emily 早稲田大学, 国際学術院, 専任講師 (60906543)
Project Period (FY)	2024-04-01 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000) Fiscal Year 2026: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000) Fiscal Year 2025: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000) Fiscal Year 2024: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Keywords	sentiment analysis / emotion recognition / NLP
Outline of Research at the Start	The EmoMap project provides emotion mapping for textual data, i.e. converting between granularities of emotions in emotion datasets e.g. annoyance to anger and anger to negative. This project will help us better understand the overlap and distinctiveness of emotions and aid in the development of a robust emotion framework for recognizing textual affect.