When are Latent Topics Useful for Text Mining?
| dc.contributor.author | Nont Kanungsukkasem | |
| dc.contributor.author | Piyawat Chuangkrud | |
| dc.contributor.author | Pimpitcha Pitichotchokphokhin | |
| dc.contributor.author | Chaianun Damrongrat | |
| dc.contributor.author | Teerapong Leelanupab | |
| dc.date.accessioned | 2025-07-21T06:08:36Z | |
| dc.date.issued | 2023-01-01 | |
| dc.identifier.doi | 10.1007/978-3-031-42430-4_17 | |
| dc.identifier.uri | https://dspace.kmitl.ac.th/handle/123456789/12133 | |
| dc.subject | Word2vec | |
| dc.subject | Similarity (geometry) | |
| dc.subject | Latent semantic analysis | |
| dc.subject | Bag-of-words model | |
| dc.subject.classification | Advanced Text Analysis Techniques | |
| dc.title | When are Latent Topics Useful for Text Mining? | |
| dc.type | Book chapter |