text feature信息详情

text feature发音

意思翻译

文本特征

相似词语短语

feature feature───特征

feature───vi.起重要作用;vt.特写;以…为特色;由…主演;n.特色,特征;容貌;特写或专题节目

feature story───n.深度报道;n.新闻特写;专题报道

text───n.[计]文本;课文;主题;vt.发短信

poinciana feature───波因西亚特征

emotions feature───情感特征

feature team───专题小组

geographical feature───地理特征

phonetic feature───语音特征,语音要素

双语使用场景

Text feature selection is a process of recognizing and deleting redundant information and enhancing training documents cluster quality.───文本特征选择是最大程度地识别和去除冗余信息,提高训练数据集质量的过程。

Text feature extraction and text categorization is the focal point of basic research in the field of intelligent information service system.───文本信息特征提取和文本分类是当前智能信息服务系统基础研究的重点。

Domain-dictionary based text representation can enhance the ability of text feature expression and reduce the feature dimensionality.───词典的文本特征表示方法可以增强文本特征表示能力。

We give a feature appraising function which can be used to extract text feature and improve the clustering algorithm.───给出了一个特征评价函数用以进行特征提取;对一种基于相似度的平面划分聚类算法做了一些改进。

Text feature selection method can affect the effect of text classification directly.───特征选择方法的好坏直接影响文本分类的效果。

Comparing Dimension Reduction Methods of Text Feature Matrix───几种文本特征降维方法的比较分析

A Generation Scheme of Text Feature Set by Man-Computer Cooperation───一种人机结合的文本特征词集生成方法

Research about new methods of text feature extraction───关于文本特征抽取新方法的研究

Text feature extraction and selection based on geometric distance classifiability criterion───基于几何距离可分性判据的文本特征提取

英语使用场景

The author gains insights from attribute reduction based on discernability matrix and proposes a few rough-set based text feature selection algorithms, i. e. , DB1, DB2 and LDB.

Segmentation and text feature representation are two crucial problems in text processing research.

A latent semantic classification LSC model, which considers both text feature and classification information, is virtually a linear model and could not gain higher effectiveness.

The algorithm for duplication check of Chinese texts combines Chinese linguistics research results. It presents a new method to extract text feature.