文本自動分類 的英文怎麼說

中文拼音 [wénběnzìdòngfēnlèi]
文本自動分類 英文
automatic text categorization
  • 文 : Ⅰ名詞1 （字） character; script; writing 2 （文字） language 3 （文章） literary composition; wri...
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 文本 : text; version
  • 自動 : 1 （自己主動） voluntarily; of one s own accord 2 （不憑借人為的力量） automatic; spontaneous 3 ...
  1. As it can be expressed easily by argument equations, we use the conicoid as the criteria of points " classification. based on the point ' s normal and the adjacent field, corresponding to the conicoid equation such as plane, ball and cylinder, we search the points that fit the equation along the adjacent field. using this method, we realized the automatic classification of unorganized points

    本文採用了可以比較方便地用參數方程表示的二次曲面作為數據點的分類標準，根據點的法向量以及其鄰域結點的各種屬性，對應于平面、球面、柱面等二次曲面，依據曲面方程的特點，從起始點開始沿鄰域深度優先遞歸尋找符合方程的數據點，實現了散亂數據點的自動分類。
  2. Thi s paper proposes a new automatic natura1 1anguage text categorization modu1e based on concept. thi s modu1e takes howwenet as the main source of knowledge, the concepts of words as the bas ; is of text categorization. the concepts of words are reduced to sememes and the tc is performed in the classfiab1e sememe vector space ( csvs )

    本文提出了一個基於概念的自然語言文本自動分類模型，該模型以《知網》為主要的概念知識源，以詞所表示的概念為分類基礎，把概念繼續分解至義原，並在可分義原組成的向量空間進行文本分類。
  3. In this paper, the word segmentation technology of chinese text classification is debated emphatically. and the method of word segmentation based on the phrase labeling of 2 - gram syntax is put forward combining the method of setting separate - signs and the method based on the statistic of word - frequency, which can recognize the vocabularies which the method based on the dictionary can not manage

    對于基於信息過濾的自動分類問題，使用字典分詞並不是一個必須的過程，因而本文提出了基於2元語法短語標引的分詞方法，它將設立切分標志法與基於詞頻統計的方法相結合，可以識別基於詞典方法處理不了的詞匯，如：人名、地名、專業術語等。
  4. Study of the present social obligations of china ' s industries

    在文本自動分類中的應用
  5. Review of machine learning in automatic text categorization

    基於機器學習的文本自動分類研究進展
  6. Applications of support vector machines in classification

    基於級連式支持向量機的文本自動分類演算法
  7. Research and implementation of a new text categorization system

    一種新型文本自動分類系統的研究與實現
  8. An application of pretreatment on automatic classification of html document

    文本自動分類預處理方法的研究應用
  9. The system for automatic text categorization based on chinese character vector

    基於字頻向量的中文文本自動分類系統
  10. Research and implementation of automatic text categorization system based on vsm

    基於向量空間模型的文本自動分類系統的研究與實現
  11. Discuss the general methods and the key technology of constructing classifier. 3

    討論了文本自動分類器一般方法、步驟及有關技術細節。
  12. 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於文本自動分類的搜索引擎的設計。
  13. For this purpose, the text automatic classification has been put forward and studied in application

    為此目的，文本自動分類被研究者提出並進行了應用研究。
  14. At present, keyword extraction is an important technique used for automatic abstract, automatic classification, subject extraction, subject word extraction etc. the paper introduces a new technique of keyword extraction and key concept extraction based on web page, the design and implement of experimental system, and the application of the system in the search engine

    目前，由於計算機在自然語言理解方面還有很大的不足，關鍵詞提取是在進行文本自動摘要、文本自動分類、主題詞提取、主題提取等凡是涉及到文本信息理解的工作時，都要應用到的一項關鍵技術。本論文詳細介紹了一種基於web頁面的關鍵詞與關鍵概念提取技術及其實驗系統的設計與實現，並對該技術在搜索引擎中的應用進行了探討。
  15. By analyzing of automatic classification, the article points out that the automatic classification not only can not replace the library classification, but also its development needs the help from library expert

    文章通過對文本自動分類技術的分析，指出自動分類技術不但不能替代圖書館分類對紙質圖書進行分類，而且自動分類技術的發展需要圖書學家提供支持。
  16. Through discussing such core technologies in the automatic processing of chinese information as automatic word segmentation, feature selecting and automatic representation of texts, the thesis makes some improvements and perfection on the current methods of automatic word segmentation and text space reduction of chinese texts, therefore improved their efficiencies and effects. with regard to the methods of text classification, the paper introduced two supervisory automatic classification methods of chinese texts based on multi - classification, i. e. fuzzy clustering and boosting, which settled the problem of low percentage of recall. through comparing the results of experiments with the two methods, an automatic classification system of multi - classification texts is constructed based on the boosting method, which received good effects in application and provides a good resolution to the problem of real - time classification of information

    通過對漢語信息自動處理中自動分詞、特徵提取、文本自動表示等核心技術討論，對目前漢語文本自動分詞和文本降維方法中的不足和缺陷作了改進，提高了分詞和文本分類的效率和效果；在文本自動分類方法上，介紹了兩種有監督的基於多類的漢語文本自動分類處理方法? ?模糊聚類方法和boosting方法，解決了實踐中文本分類查全率不高的問題；通過對兩種方法的實驗比較結果，構建了基於boosting方法的多類文本自動分類系統，在實際應用中收到了良好的效果，較好的解決了信息的實時分類問題。
  17. Text categorization, the assignment of free text document to one or more predefined categories based on their content, is an important component in many information management tasks

    文本自動分類系統，作為信息處理的重要研究方向，旨在根據文本的內容自動判別文本類別。
  18. Study of ontology - based document classification system

    基於本體的文檔自動分類系統的研究
  19. Then this paper presents a text classifier based on neural networks ( nntcs ) as the main topic. some key techniques implemented in this classifier, such as feature extraction, dimension reduction, hierarchical classification and classifier training, are discussed in details

    然後著重介紹了一個基於神經網路的文本自動分類系統nntcs ，重點闡述了特徵提取、空間降維、層次分類和分類器訓練等技術的實現方法。
  20. The problem investigated in this thesis is that the text automated classification with the known class system

    本文所研究的文本自動分類就是指在給定類別體系下的文本自動歸類。
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