| Analyzing temporal patterns of topic diversity using graph clustering | 2 | 0.43 | 2021 |
| Evaluation for ESD (Education for Sustainable Development) to achieve SDGs at University | 0 | 0.34 | 2020 |
| Unsupervised Feature Value Selection Based on Explainability | 0 | 0.34 | 2020 |
| Indonesian Gender Equality Survey Analysis Using Feature Selection Based Clustering | 0 | 0.34 | 2020 |
| Time Series Topic Transition Based on Micro-Clustering. | 0 | 0.34 | 2019 |
| Time Series Electricity Consumption Analysis using Non-negative Matrix Factorization | 0 | 0.34 | 2019 |
| Developing Social Information Platform for Cool Japan in Asian Countries | 0 | 0.34 | 2018 |
| Missionaries, Politicians, and Boy Bands: Onlooker Behavior on Twitter During the Nepal, Kumamoto, and Ecuador Earthquakes. | 0 | 0.34 | 2017 |
| Topic Extraction from Millions of Tweets Based on Community Detection in Bipartite Networks. | 1 | 0.38 | 2017 |
| Scwc/Slcc: Highly Scalable Feature Selection Algorithms | 0 | 0.34 | 2017 |
| Topic Extraction On Twitter Considering Author'S Role Based On Bipartite Networks | 0 | 0.34 | 2017 |
| Visualization challenge on time series statistical data. | 0 | 0.34 | 2017 |
| What Do Boy Bands Tell Us About Disasters? The Social Media Response to the Nepal Earthquake. | 0 | 0.34 | 2016 |
| Developing A Framework For An Advisory Message Board For Female Victims After Disasters: A Case Study After East Japan Great Earthquake | 1 | 0.37 | 2016 |
| Monetary Policy Topic Extraction by Using LDA: - Termination of Asian Financial Crisis. | 0 | 0.34 | 2015 |
| Topic transition detection about the East Japan great earthquake based on emerging modularity over time | 0 | 0.34 | 2015 |
| Topic extraction from millions of tweets using singular value decomposition and feature selection. | 0 | 0.34 | 2015 |
| Topic Extraction Analysis for Monetary Policy Minutes of Japan in 2014 - Effects of the Consumption Tax Hike in April. | 1 | 0.48 | 2015 |
| Monetary Policy Topic Extraction by Using LDA: Japanese Monetary Policy of the Second ABE Cabinet Term | 0 | 0.34 | 2015 |
| Event Detection from Millions of Tweets Related to the Great East Japan Earthquake Using Feature Selection Technique. | 3 | 0.38 | 2015 |
| Super-CWC and super-LCC: Super fast feature selection algorithms | 4 | 0.46 | 2015 |
| Knowledge Visualization of Reasoning for Financial Mathematics with Statistical Theorems | 1 | 0.75 | 2014 |
| Affected people's needs detection after the East Japan Great Earthquake — Time series analysis using LDA | 0 | 0.34 | 2014 |
| Framework of an Advisory Message Board for Women Victims after Disasters. | 0 | 0.34 | 2014 |
| Human Reaction in Thailand based on Social Media Analysis after the East Japan Great Earthquake. | 0 | 0.34 | 2014 |
| Knowledge Visualization of the Deductive Reasoning for Word Problems in Mathematical Economics. | 1 | 0.55 | 2013 |
| Exploring social context from buzz marketing site - Community mapping based on tree edit distance -. | 0 | 0.34 | 2013 |
| Temporal Awareness of Needs after East Japan Great Earthquake using Latent Semantic Analysis. | 1 | 0.38 | 2013 |
| Discovering Topic Transition about the East Japan Great Earthquake in Dynamic Social Media | 0 | 0.34 | 2012 |
| Social media analysis - determining the number of topic clusters from buzz marketing site. | 5 | 0.52 | 2012 |
| Effective web video clustering using playlist information | 4 | 0.39 | 2012 |
| Topic Detection about the East Japan Great Earthquake based on Emerging Modularity. | 1 | 0.39 | 2012 |
| Graph-based Consumer Behavior Analysis from Buzz Marketing Sites. | 1 | 0.36 | 2011 |
| Detecting unexpected correlation between a current topic and products from buzz marketing sites | 2 | 0.47 | 2011 |
| A Concept Model for Solving Bond Mathematics Problems. | 1 | 0.49 | 2011 |
| Consumer behavior analysis from buzz marketing sites over time series concept graphs | 1 | 0.36 | 2011 |
| Infrastructures for Knowledge Systems Environments. | 0 | 0.34 | 2011 |
| Semantics extraction from social computing: a framework of reputation analysis on buzz marketing sites | 3 | 0.45 | 2010 |
| Topic Extraction from Messages in Social Computing Services: Determining the Number of Topic Clusters | 2 | 0.39 | 2010 |
| Important scene analysis model using result importance and situation importance | 1 | 0.37 | 2009 |
| Significant Scene Extraction Method Using Situation Importance | 2 | 0.43 | 2004 |
| Personal Digest System for Professional Baseball Programs in Mobile Environment | 1 | 0.41 | 2003 |
| Digest Making Method Based on Turning Point Analysis | 1 | 0.38 | 2001 |
| A Rule-Based Scheme to Make Personal Digests from Video Program Meta Data | 4 | 0.58 | 2001 |
| Personalized digests of sports programs using intuitive retrieval and semantic analysis | 5 | 0.76 | 2000 |
| Extended Package-Segment Model and Adaptable Applications | 1 | 0.45 | 1999 |
