text mining 中文意思是什麼

text mining 解釋
文本挖掘
  • text : n 1 原文，本文，正文；（文藝學等所說的）文本。2 課文，課本，教科書。3 基督教聖經經文，經句〈常引...
  • mining : n 1 采礦，采礦業，礦業。2 敷設地雷[水雷]。adj 開礦的，采礦的。 a mining engineer 采礦工程師。 min...
  1. This article discussed the chinese word slice, character extraction, character expression and character matching methods, and established the chinese text classification and clustering algorithms based on neural network. in the design of chinese text mining based on web, the paper analyzed and researched the expression of web page information, structure feature, web page control symbol and html control symbol, and built the extraction flow of web page information, then gave two concrete application of chinese text mining based on web through combining with practical problems

    討論了文本分類中的中文詞切分、特徵提取、特徵表示、特徵匹配方法，建立了基於神經網路的中文文本分類、聚類演算法，在web中文文本信息挖掘的設計中，對網頁信息的表示、結構特點、網頁控制符、 html控制符號處理進行了詳細分析與研究，構建了網頁信息提取流程，並結合實際問題，給出了web環境下中文文本信息挖掘的兩個具體應用。
  2. Text mining is data mining applied to information extracted from text

    文本挖掘就是用於從文本中提取信息的數據挖掘技術。
  3. 22. official languages authentic chinese text mining ordinance order

    22 .法定語文中文真確本礦務條例令
  4. We can prove from the result of experiment that the web text mining approach could be more efficient than other classification algorithms whatever in precision, recall rate, or in novelty of knowledge. moreover, the technology is language independence

    從實驗結果看，基於粗糙集的web文本分類演算法無論在分類精度、分類效率，還是知識的新穎程度方面，都比以往分類演算法有明顯提高；而且，這種技術是語言獨立的。
  5. Tm ( short for text mining ), also called as text data mining, means the process which can find the useful information and knowledge from a large number of texts

    文本挖掘（ textmining ，簡稱tm ） ，也稱作文本數據挖掘（ textdatamining ） ，通俗地說，就是從文本或大量文本的集合中發現有用信息和知識過程。
  6. For the special requirement of an application, the author of this article designs and implements the core model of a text mining system named textminer in java platform, and provides a rational framework and lots of available implementations for the high load chinese text classifying

    由於相關應用的需求，本文作者負責設計了一個java平臺上的文本挖掘系統textminer的核心模塊，為高負荷的中文文本分類提供了合理的核心框架與大量可利用的實現方法。
  7. Based on the introduction to data mining, text mining andknowledge management, we divide the knowledge management into three phases, knowledge repository, knowledge sharing and knowledge discovery respectively, from the view - point of technical development. we analyse the key component of text mining, and point out that it is the main trend of intelligent information processing in the coming new century

    本文首先介紹了數據挖掘、文本挖掘和知識管理等概念，然後從技術角度出發，將知識管理劃分為知識庫、知識共享和知識發現三個階段，分析了作為最高階段的知識發現的關鍵技術和意義，最後指出在文本中進行知識發現是新世紀智能信息處理的重要方向。
  8. 6. official languages alteration of text mining ordinance order 1997

    6 . 1997年法定語文修改文本礦務條例令
  9. The integration services transformations for text mining and the fuzzy matching may not work as well with non - english languages as they do with english

    與使用英語相比，用於文本挖掘和模糊匹配的integration services轉換可能無法很好地與非英語語言一起使用。
  10. For example, using the term extraction transformation for text mining of swedish strings could be effective because the swedish language uses word and sentence delimiters that are similar to those in the english language

    例如，將字詞提取轉換用於瑞典語字元串的文本挖掘可能會有效，因為瑞典語使用的單詞和句子分隔符與英語語言中使用的單詞和句子分隔符相似。
  11. With these foundation, the paper puts forward several solution schemas of key technologies in mois, such as 3 - tiers system architecture optimization, binary file compression & encryption, tree relationship data process, active notice delivery mechanism and network environment adaptability, and makes some ex ploring research about intelligent software agent and text mining technology

    在此基礎上，給出了若干mois關鍵技術的解決方案，包括三層體系結構優化方案、二進制格式文件壓縮加密方案，層次化關系數據的處理技術、主動式通知傳遞機制和網路環境適應性方案等，並對智能軟體代理和文本挖掘技術作了探索性研究。
  12. At present, more corpora of higher quality are required in the fields of machine translation ( mt ), information retrieval ( ir ), web text mining, etc. automatic stem segmentation and part of speech ( pos ) tagging are fundamental to the construction of tagged corpora

    目前，在機器翻譯、信息檢索、 web文本挖掘等許多領域對語料庫的使用越來越多，要求也越來越高。而自動詞干提取和詞性標注是建立標注語料庫的基礎性工作。
  13. Then, using the statistical data of web citation in scholarship documents and documents having web citations, with the method of infbrmetrics, statistics and text mining, the author analyzed the web citation information in depth. according to the information, concluded what influence has network resource on scholarly communication. furthermore, the author took informatics as an example and gathered indexed web citations to analyze the characteristics and laws of web citation

    其次，從學術期刊中的網路引文和含有網路引文的文獻兩方面出發，利用信息計量方法、一般統計方法和文本挖掘方法，對相關信息進行深入的統計分析，得出網路資源對學術交流的影響的現實狀況；進而把情報學作為個案，收集相關網路引文詳細的條目信息進行各種可利用信息的深入挖掘，展示網路引文的規律與特點，從中我們可以得出一些有用信息。
  14. Text mining in chinese raises its special problems according to the own characteristics of the chinese language

    中文的文本挖掘由於漢語語言本身的特點有其需要解決的特殊問題。
  15. Adopting the globe pole mapping method of space analytic geometry, forming a topological mapping model from the high dimensionality vector to the low one, and then realizing a corresponding mapping from the rectangular matrix high dimensionality space text set to the low dimensionality space text set, finally, composing the corresponding arithmetics, accordingly solving the problem of nonlinear dimensionality reduction for text mining effectively, and overcoming some drawbacks in the former researches

    摘要採用了空間解析幾何中的球極映射方法，形成高維向量到低維向量的拓撲變換模型，實現了矩陣形式的高維空間文本集合到低維空間文本集合的一一映射，編制了相應的演算法，從而有效地解決了文本挖掘中的非線性降維問題，克服了以往研究中的缺陷。
  16. The text mining application described in this article,

    本文中描述的文本挖掘應用程序稱為
  17. Finally, we simply discuss two applications of text mining

    最後，我們論述了文本挖掘的2個應用。
  18. First, we discuss chinese text mining ( ctm ) in theory

    首先，我們從理論上對文本挖掘進行了探討。
  19. Rearch on text classification and text clustering in text mining

    關于文本挖掘中文本分類與文本聚類的研究
  20. Term extraction and term lookup transformations, for text mining applications

    字詞提取和字詞查找轉換，用於文本挖掘應用程序。
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