面向?qū)＠麛?shù)據(jù)清洗和分析的自動(dòng)分類(lèi)方法研究.pdf

1、X1406603中圖分類(lèi)號(hào)魚(yú)三』3：l；!￡!!!UDC學(xué)校代碼苧Q9壘!密級(jí)壘五中國(guó)科學(xué)技術(shù)信息研究所碩士學(xué)位論文StudyonPatentCategorizationforDataCleanandAnalysis作者姓名塹壁塞一導(dǎo)師姓名韭坦捏塞監(jiān)學(xué)位類(lèi)別籃理堂學(xué)科專(zhuān)業(yè)一一值握堂學(xué)號(hào)809010612職稱(chēng)副盟宜旦盟宜旦學(xué)位級(jí)別亟研究方向讓簋扭籃J墾堇壟中國(guó)科學(xué)技術(shù)信息研究所論文提交日期(2008年05月)StudyonPatentCa

2、tegorizationforDataCleanandAnalysisAbstractInpacewiththerapiddevelopingofS&T’allofthecountries，industriesandcompaniesintheworldhavestrongrequirementofcompetitivetechnologyintelligenceandtechnology’StendencyMeanwhile，when

3、wecarryoutsomeprogramssuchaLstechnologymonitoringandtechnologyforecastingwefinditverynecessaryforUStomakeadeepanalysisaboutpatentTherefore，itisourfocalpointtodesignsuitablealgorithmforpatentanalysisBYmeansofdeepstudyabou

4、tthecurrentsituationofpatentanalysis，wefindthattherearetwopuzzlesOneisthatwhenwetrytocleanpatent’SdataitalwaystakesUSalongtimeTheotheriswhenwewanttoanalyzesomepatentdata，wefineithardforUStoclassi句thernInordertosolvethese

5、problems，thisPaperbringsanideaforewordthatwecandeviseacategorizationalgorithmtolookupsomeisolatedpointinthedatasetwhichhelpsUStocleandataandtoclassifythemForthisreason，thisthesisgetsadeepstudyabouttextandpatentcategoriza

6、tionThen，borrowingideasfromCNKI’Sword’Ssimilarityalgorithmthisstudyputsforewordallautomaticpatent’ScategorizationalgorithmthatisbaseduponatreelikeIPCstructureAfterthatthisstudyimplementsthealgorithmbyusingClanguageFurthe

7、rmore，wediSCUSSsomewaystoselectproperparameterinthealgorithmFinallybyusingsometrainingdatathataregottenfromaprogramoftheMinistryofScienceandTechnologywetrytoevaluatethisalgorithmandtheresultisthatwhenitisusedindatacleani

8、tsprecise’rateis079080itsrecall’Srateis091092andwhenitisusedindataanalysisitsprecise’rateis099itsrecall，Srateis098ThatismeansthealgorithmwhichdesignedbythispaperCanuseintechnologymonitoringandtechnologyforecastingandmake