2023年全國碩士研究生考試考研英語一試題真題(含答案詳解+作文范文)_第1頁
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1、遼寧師范大學(xué)碩士學(xué)位論文文本特征選擇算法的研究姓名:楊榮杰申請學(xué)位級別:碩士專業(yè):計算機應(yīng)用技術(shù)指導(dǎo)教師:任永功201204一文本特征選擇算法的研究—————————————————————————————————————————————————一?!猂esearchonFeatureSelectionAlgorithmforTextAbstractTextclassificationTechnologyclassifiedthema

2、ssiveunclassifiedintormationontheIntemetviapreviouslydefinedcategory,toimprovetheutilizationrateofinformationandveri妙thevalueofinformationforresearchersTextclassificationisaprocesswhichcont1jnstextCOrpus,textpretreatment

3、,textpresentation,charactel’dimensionalityreduction,struc:ureclassifierandtestAmongthem,thecharacterdimensionalityreductioniSthemostimpor:antoneoftheSIXstepsInimprovingtheaccul’acyofclassification,savingspace,reducetheca

4、lculationtime—complexity,dimensionalityreductionplayaveryimportantrole1herearetwomajorwaystoreducecharacterdimensionally:featureextractionandtcatureselectionFeatureextractionabstractsanewfeatm‘esubsetbytherelationshipoft

5、hemappingfilnctionfromtheoriginalfeaturesThecharactersbetweenfcaturesarem3reindependentinthisspecificcharacterdimensionandit’SmucheasiertoidentifvvarioustextsFeatureselection,amongthetotalfeaturescluster,selectsthemorede

6、signablefeaturesas:heuniquesubsetofclassifiedtrainingbyusingtheFeatureweightscalculationformulawithvariousfeaturesDependondifierentperspectives,featureselectioncouldbedefineddifferently,amongthem,therearetwoonesnamed‘‘un

7、dersupervision,’and“nosupelmsion”whichcouldbeidentifiedbywhetheritgettheclassmarkerThispapmincludestxvoalgorithms:Firstofall,mRMRReliefFfeatureselectionalgorithmwhichisbased011ReliefFalgorithmThealgorithmtakesprobability

8、insteadtomakeupthelackofdifferencesoft11efeaturemeasurement,andcomeupwithaHewdifierencefunctionThefeaturesextractedfromthefunctionmakesthecorrelationwithinclassandthedifferencebetweenclassesmoFesignificantThealgorithmals

9、oconsidersthewordcorrelationWordcorrelationisnconsiderationofnotonlychoosingthewordwithcloserelationtothecharacteristiconesbutalsoeliminationofcharacteristicredundantThroughthecomparisonexperimentsofthethr(ealgorithms,th

10、eresultverirythatthetestalgorithmprovidesamoreeffectivefeaturetotextclassificationinthispaperSecondlyimprovementforconventionalIGalgorithm:atextfeatureselectionmethoj(TDpIG)basedoninformationgainSelectingdataclusterbyfea

11、turecategoryteduceth:influenceofunbalanceclusterforthefeatureselectionSecondstep,byusinlzfeatures‘a(chǎn)ppearingprobabilitycalculategainvalueofinformationtolowerthedisturbanceoflOWfrequencywordsforfeatureselectionFinally,anal

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