Name
Title | ||
|---|---|---|
Comparing Clustering Algorithms for Psychomime Classification using Probabilistic Latent Semantic Analysis and Fuzzy c-Means. |
Abstract | ||
|---|---|---|
Our aim was to automatically and appropriately classify Japanese psychomimes such as 'ukiuld and 'wakuwaku'. Such terms are important because they represent users' emotions and have multiple meanings. Previous studies on psychomimes have not focused on these characteristics. Therefore, we focused on such characteristics by using two soft-clustering algorithms fuzzy c-means (FCM) and probabilistic latent semantic analysis (pLSA). We conducted experiments on psychomime classification. We report the result comparing both algorithms. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.3233/978-1-61499-105-2-565 | ADVANCES IN KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS |
Keywords | Field | DocType |
psychomimes,onomatopoeia,soft clustering,fuzzy c-means (FCM),probabilistic latent semantic analysis (pLSA) | Fuzzy clustering,Pattern recognition,Fuzzy classification,Computer science,Fuzzy logic,Artificial intelligence,Probabilistic latent semantic analysis,Biclustering,Cluster analysis | Conference |
Volume | ISSN | Citations |
243 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yoshiaki Kurosawa | 1 | 13 | 5.92 |
| Norinobu Hatamoto | 2 | 0 | 0.68 |
| Shogo Hamada | 3 | 0 | 1.35 |
| Toshiyuki Takezawa | 4 | 491 | 74.19 |