classification n. 1.選別;分等,分級(jí);分選。 2.【動(dòng)、植】分類(法)。 〔分類級(jí)別為: phylum 【動(dòng)物;動(dòng)物學(xué)】及 division 【植物;植物學(xué)】門,class 綱,order 目,family 科,genus 屬,species 種,variety 品種〕。 3.類別;等級(jí);(文件的)保密級(jí)。 a classification yard (車站的)調(diào)車場(chǎng)。
document n. 1.文獻(xiàn),文件;公文。 2.證件,證書,憑證。 3.記錄影片,記實(shí)小說。 4.【航海】船舶執(zhí)照。 a diplomatic document 外交文件。 public documents 公文。 a document of searching 搜查證。 a document of shipping 裝貨單據(jù)。 a human document 人世間的記錄。 vt. 1.用文件[證書等]證明,為…提供文件[證書等]。 2.根據(jù)事實(shí)材料制作(影片等)。 3.【航?!繛?船舶)提供執(zhí)照〔表明船的國籍、容量、所有權(quán)等〕。 a documented vessel 〔美國〕有執(zhí)照的船。 a carefully documented biography 有詳細(xì)文獻(xiàn)根據(jù)的傳記。 document a case 為案件提供文件資料。
Study of ontology - based document classification system 基于本體的文檔自動(dòng)分類系統(tǒng)的研究
On the quality of document classification staffs in 21st century 論新時(shí)期文獻(xiàn)分類人員的素養(yǎng)
As a result , rules for web documents classification are produced 最后,推導(dǎo)出web文本分類的規(guī)則集。
Automatic document classification 自動(dòng)文件分類
In addition to the document classification algorithm , a web - based document classification system is also developed and a demonstration case is applied to verify the performance of the proposed approach 綜合言之,本研究之目標(biāo)乃為提升文件自動(dòng)分類技術(shù)之正確率與效率性,以協(xié)助企業(yè)組織與機(jī)構(gòu)有效提高其知識(shí)文件管理之效能,并進(jìn)而提升企業(yè)之知識(shí)利用率。
In order to enhance the performance for enterprises to manage their digital documents and domain knowledge , automatic document classification has become a key issue for enterprise knowledge management 由于電子化文件之內(nèi)容充滿復(fù)雜性與多樣性,故以人工決策之方式判斷文件類別不僅不符合經(jīng)濟(jì)效益且其處理速度亦十分緩慢;此外,文件類別認(rèn)定標(biāo)準(zhǔn)亦難維持一致性。
The attempt of this research is to enhance the accuracy and efficiency of enterprise document classification technology and to enable a self - service knowledge management mechanism in organizations 此外,對(duì)于資訊需求者而言,本研究則能協(xié)助資訊需求者于龐大之網(wǎng)路資訊/文件中,迅速且便捷地尋得其所需要之文件資料,以節(jié)省資訊需求者花費(fèi)于資訊過濾與篩選之大量時(shí)間。
This method is suitable to automatic construction of ontology of all the other domains and valuable to applications . the web document classification system combining the fuzzy neural network with the concept hierarchy of ontology is developped 此方法適用于構(gòu)造所有領(lǐng)域的本體論,具有較大的實(shí)用價(jià)值;設(shè)計(jì)一個(gè)將模糊神經(jīng)網(wǎng)絡(luò)與本體論的概念層次結(jié)構(gòu)相結(jié)合的web文檔分類系統(tǒng)。
This paper comprises the discussion of intel ligent agent , natural language processing , document representation , document classification , support vector machine , and the detailed design and implementation of web news hunter intelligent agent system 本文包括對(duì)智能代理、自然語言處理、文本表示、網(wǎng)絡(luò)搜索、文本分類和支持向量機(jī)等網(wǎng)絡(luò)挖掘相關(guān)領(lǐng)域的理論、算法和應(yīng)用的探討,以及webnewshunter智能代理的系統(tǒng)框架的設(shè)計(jì)與實(shí)現(xiàn)。
Content analysis and document classification must follow the logical rules of classification , but the classification of contents from micro - degree ; it is good for getting competitive information by content analysis ; it is good for strengthening the reliability and accuracy of book review and improving review value and academic value 內(nèi)容分析法與文獻(xiàn)分類都必須遵守分類的邏輯原則,但內(nèi)容分析的分類從微觀角度透視各種載體內(nèi)容;運(yùn)用內(nèi)容分析有利于獲得競爭情報(bào);有利于增強(qiáng)書評(píng)的客觀性精確性,提高評(píng)論價(jià)值與學(xué)術(shù)價(jià)值。
Document classification or document categorization is a problem in library science, information science and computer science. The task is to assign a document to one or more classes or categories. This may be done "manually" (or "intellectually") or algorithmically. The intellectual classification of documents has mostly been the province of library science, while the algorithmic classification of documents is used mainly in information science and computer science. The problems are overlapping, however, and there is therefore also interdisciplinary research on document classification.