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automatic text categorization in Chinese

Pronunciation:
How to pronounce "automatic text categorization""automatic text categorization" in a sentence

Translationmobile phoneMobile

  • 文本自動(dòng)分類

Examples

  • Review of machine learning in automatic text categorization
    基于機(jī)器學(xué)習(xí)的文本自動(dòng)分類研究進(jìn)展
  • The system for automatic text categorization based on chinese character vector
    基于字頻向量的中文文本自動(dòng)分類系統(tǒng)
  • Research and implementation of automatic text categorization system based on vsm
    基于向量空間模型的文本自動(dòng)分類系統(tǒng)的研究與實(shí)現(xiàn)
  • Designation of a search engine based on automatic text categorization is presented in this paper
    本論文還提出了一種基于文本自動(dòng)分類的搜索引擎的設(shè)計(jì)。
  • Abstract at present , there are no practical and mature automatic text categorization methods for patent data
    摘要中文專利文獻(xiàn)自動(dòng)分類目前尚無(wú)成熟適用的方法。
  • In this paper , algorithms of automatic text categorization are studied . the main work is as follows : 1
    本論文主要探討了文本自動(dòng)分類的算法,所作的主要工作如下: 1
  • The system can preferably implement automatic text categorization for chinese pages , and has a higher quality
    該系統(tǒng)可以很好地實(shí)現(xiàn)一個(gè)中文網(wǎng)頁(yè)的自動(dòng)分類,且系統(tǒng)中的分類器具有較高的分類質(zhì)量。
  • Among the various techniques to solve spam problems , mail filtering is an effective way , especially one based on automatic text categorization technique , which is flexible and efficient
    反垃圾郵件的技術(shù)有很多,郵件過(guò)濾技術(shù)是反垃圾郵件技術(shù)中較為有效的手段,而基于文本自動(dòng)分類的過(guò)濾技術(shù)又是郵件過(guò)濾技術(shù)中比較靈活和高效的方法。
  • Therefore , this paper made a research on several key techniques about text categorization , improved the non - dictionary segment and weight calculation , and then proposed a hierarchical categorization method and an automatic text categorization framework for patent data
    分析了文本自動(dòng)分類的關(guān)鍵技術(shù),并結(jié)合專利數(shù)據(jù)的特點(diǎn)對(duì)無(wú)詞典分詞和權(quán)重計(jì)算進(jìn)行了改進(jìn),提出了一種適用于專利數(shù)據(jù)分類的層次分類方法,給出了面向?qū)@墨I(xiàn)數(shù)據(jù)的文本自動(dòng)分類系統(tǒng)的框架模型。
  • More examples:  1  2
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