Job title：
Associate Professor
Other affiliations (1)：
RIKEN
Center for Advanced Intelligence Project
Visiting Researcher
Research field (3)：
Computational science
, Computational science
, Commerce
Research keywords (5)：
Deep Learning
, Multimodal Learning
, Large Language Models
, machine learning
, marketing
Papers (12)：
Dynamic Sentiment Analysis with Local Large Language Models using Majority Voting: A Study on Factors Affecting Restaurant Evaluation. arXiv. 2024. 2407.13069
Junichiro Niimi. An Efficient Multimodal Learning Framework to Comprehend Consumer Preferences Using BERT and Cross-Attention. arXiv. 2024
Junichiro NIIMI. Prediction of Behavioral Loyalty Using Different Dimensionality Data: Multimodal Deep Learning with Transformer Encoder and Serial Feature Fusion. Japanese Journal of Applied Statistics. 2024. 53. 1. 15-32
Makito Takeuchi, Junichiro NIIMI, Takahiro Hoshino. Handling the Inconsistency between Self-Report and the Actual Behavior: Validity of Excluding Survey Participants with Insufficient Effort Responding. International Journal of Market Research. 2023. 66. 4. 451-471
Junichiro NIIMI. Customer Behavior Prediction with hourly-Clumpiness: Survival Analysis and LSTM-RNN Approach for RFMC. MEIJO REVIEW. 2021. 22. 2-3. 49-63
Junichiro Niimi. KAN in Marketing: Application of Kolmogorov-Arnold Network for Purchase Prediction in E-Commerce -Theoretical comparison with conventional deep learning models-. Jxiv. 2024
Junichiro Niimi. An Investigation into the Impact of Model Scale and Quantization Precision on the Performance of Local Large Language Models: Applications in Sentiment Analysis of Online Reviews for Restaurant Evaluations. IEICE Tech. Rep. 2024. 124. 173. 21-26
Junichiro Niimi. Multimodal Deep Learning of Word-of-Mouth Text and Demographics to Predict Customer Rating: Handling Consumer Heterogeneity in Marketing. arXiv. 2024. arXiv:2401.11888
Books (1)：
.
2018 ISBN:4434250906
Lectures and oral presentations (13)：
Obtaining and Scoring Survey Scales from the Electronic Word-of-Mouth using Local Large Language Models: A Comparative Study with Actual Restaurant Evaluations
(2024)
An Investigation into the Impact of Model Scale and Quantization Precision on the Performance of Local Large Language Models -Applications in Sentiment Analysis of Online Reviews for Restaurant Evaluations-
(The 21st Text Analytics Symposium 2024)
Prediction of the Rating on Restaurants with Multimodal Deep Learning: A Combination of Review Text, User Profile, and Restaurant Information
(The 38th Annual Conference of the Japanese Society for Artificial Intelligence, 2024 2024)
Textual Data Annotation Using Large Language Models: A Sentiment Analysis with A Text Mining Approach for Product Reviews with Dynamic Scoring from Multiple Perspectives
(68th Conference of Japan Association for Consumer Studies (JACS) 2024)
An Impact of Habitual Purchases on the Behavioral Loyalty: A Classification of the Purchase Behavior with Behavioral Indices
(2023)
2015 - 2018 Nagoya University Graduate School of Economics
2013 - 2015 Nagoya University Graduate School of Economics
2009 - 2013 Nagoya University School of Economics Economics
Professional career (1)：
Doctor of Economics (Nagoya University)
Work history (5)：
2022/04 - 現在 Meijo University Faculty of Business Management Associate Professor
2020/04 - 現在 RIKEN Center for Advanced Intelligence Project Visiting Researcher
2019/04 - 現在 Nagoya University Economic Research Center, Graduate School of Economics Collaborative Researcher
2019/04 - 2022/03 Meijo University Faculty of Business Management Assistant Professor
2018/04 - 2019/03 RIKEN Center for Advanced Intelligence Project Postdoctoral Researcher
Committee career (3)：
2024/04 - 2024/06 Japan Institute of Marketing Science .
2018/11 - 2018/12 行動経済学会 第12回大会運営委員
2018/08 - 2018/09 日本行動計量学会 第46回大会実行委員
Association Membership(s) (5)：
Information Processing Society of Japan
, Japanese Society of Applied Statistics
, Behaviormetric Society
, The Japanese Society for Artificial Intelligence
, Japan Institute of Marketing Science
