Text feature extraction and representation is the fundamental operation for Chinese Text Filtering.
中文文本的特征项抽取和表示是中文文本过滤基础。
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。
Also put forward are the approach for text feature extraction, the pattern of user annotations, and the mechanism for matching texts and profiles.
在此基础上，结合用户的个人兴趣，给出了文本特征抽取机制、文本推荐机制、文本与信息需求模型的匹配机制。
This new method eliminates the drawbacks of traditional IDF method and it can efficiently conduct text feature extraction thus to promote the accuracy of automation text categorization.
该文方法克服了传统IDF方法缺点，能有效地从概念上提取文本类特征，提高文本自动分类的准确性。
For a deeper analysis, you can use the Frequent Terms Extraction feature to extract the most frequent terms that occur in the text column together with advanced visualization like a cloud view.
对于更深入的分析，可以使用FrequentTermsExtraction特性提取文本列中最常出现的词汇，并结合使用云视图等高级显示功能。
Feature value extraction is key technology in text processing, outstanding feature value could really embody the attribute of the text.
特征值提取是文本处理中的关键技术，优秀的特征值才能真正反映出文本的属性。
Text categorization and feature concept extraction is the focal point of basic research in the field of intelligent information service system.
文本分类与文本信息特征概念的提取是当前智能信息服务研究的重点。
Computing method of weighted value for feature item based on text representation can determine extraction of text feature, which have influence on accuracy of the text clustering.
文本表示中特征项的权值计算方法决定了文本特征的提取，在很大程度上影响了文本聚类的准确率。
This text introduced the concept of speaker recognition system firstly, then analyzed a few extraction methods of speech feature parameters in common use and a few models of speaker recognition.
本文首先介绍了说话人识别系统的概念，然后分析了几种常用的语音特征参数的提取方法以及说话人识别的几种模型。
In this thesis, we study on text detection. It includes five parts: pre-process, multi-scale analysis, feature extraction, classification and text area extraction.
本文针对文本区域提取这个问题来进行研究，包含预处理、多分辨分析、特征提取、分类(检测)、区域提取五个步骤来解决文本区域的准确提取问题。
Based on RGB color space, this text gives the method of feature extraction and the method of compute the feature vector.
本文给出了基于RGB颜色空间的特征提取方法和特征向量的色差计算方法。
Based on RGB color space, this text gives the method of feature extraction and the method of compute the feature vector.
本文给出了基于RGB颜色空间的特征提取方法和特征向量的色差计算方法。
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