Word Vectorization Methods: Comparisons and Applications
碩士 === 國立臺灣大學 === 資訊管理學研究所 === 106 === Word vectorization (a.k.a. word embedding or distributional word representation) is a family of approaches that convert a word to a fixed length of vector. It is widely used in text mining and natural language processing tasks. However, few studies have systema...
| Main Authors: | , |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2018
|
| Online Access: | http://ndltd.ncl.edu.tw/handle/shf36j |