跳至主導覽
跳至搜尋
跳過主要內容
國立中央大學 首頁
說明與常見問題
!!Link opens in a new tab
English
中文
在 國立中央大學 搜尋內容
首頁
人才檔案
研究單位
研究計畫
研究成果
資料集
榮譽/獲獎
學術活動
新聞/媒體
影響
Evaluating Children's Composition Based on Chinese Linguistic Features with Machine Learning
Yangjun Chen
,
Calvin C.Y. Liao
, Sannyuya Liu
, Hercy N.H. Cheng
, Liansheng Jia
, Jianwen Sun
客家語文暨社會科學學系
研究成果
:
書貢獻/報告類型
›
會議論文篇章
›
同行評審
總覽
指紋
指紋
深入研究「Evaluating Children's Composition Based on Chinese Linguistic Features with Machine Learning」主題。共同形成了獨特的指紋。
排序方式
重量
按字母排序
Keyphrases
Automatic Essay Scoring
100%
Chinese Characteristics
33%
Chinese Language
100%
Classification Accuracy
33%
Feature-based
33%
First Grade
33%
Human Evaluation
33%
Linguistic Features
100%
Machine Learning
100%
Multiple Regression Technique
33%
Natural Language Processing
33%
Scoring System
33%
Sixth-grade Students
33%
Stepwise multiple Linear Regression
33%
Support Vector Machine
33%
Traditional Assessment
33%
Computer Science
Learning System
100%
Machine Learning
100%
Natural Language Processing
100%
Scoring System
100%
Support Vector Machine
100%
Engineering
Learning System
100%
Natural Language Processing
100%
Regression Technique
100%
Support Vector Machine
100%
Agricultural and Biological Sciences
Support Vector Machine
100%