Project/Area Number |
23K16954
|
Research Category |
Grant-in-Aid for Early-Career Scientists
|
Allocation Type | Multi-year Fund |
Review Section |
Basic Section 61030:Intelligent informatics-related
|
Research Institution | The Institute of Statistical Mathematics |
Principal Investigator |
Tran Duc・Vu 統計数理研究所, リスク解析戦略研究センター, 特任助教 (90910240)
|
Project Period (FY) |
2023-04-01 – 2026-03-31
|
Project Status |
Granted (Fiscal Year 2023)
|
Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2025: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2024: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2023: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
|
Keywords | public sentiments / social media / NLP / deep learning / statistical modeling |
Outline of Research at the Start |
It is a research on predicting sentiments of random social media users and contributes to the research direction on assessing public sentiments in a manner similar to conducting questionnaire surveys, timely, progressively, and low-cost, and applicable in economics, public health, and politics.
|