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1、分類號(hào)TP39學(xué)號(hào)13069059UDC密級(jí)公開工學(xué)博士學(xué)位論文面向社交網(wǎng)絡(luò)的文本分析關(guān)鍵技術(shù)研究博士生姓名聶原平學(xué)科專業(yè)計(jì)算機(jī)科學(xué)與技術(shù)研究方向大數(shù)據(jù)分析指導(dǎo)教師方濱興教授國防科學(xué)技術(shù)大學(xué)研究生院二〇一七年四月TechnologiesResearchonTextAnalysisinOnlineSocialNetworksCandidate:NieYuanpingSupervisor:ProfessorFangBinxingAdissertationSubmittedinpartialfulfillmentoftherequirementsforthedegreeofDoctorofEng
2、ineeringinComputerScienceandTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaApril10,2017國防科學(xué)技術(shù)大學(xué)研究生院博士學(xué)位論文目錄摘要........................................................................................................................iABSTRACT....................
3、...........................................................................................iii第一章緒論............................................................................................................11.1研究背景與意義................................................................................
4、.......21.1.1社交網(wǎng)絡(luò)概述................................................................................21.1.2社交網(wǎng)絡(luò)文本數(shù)據(jù)特性................................................................31.1.3文本分析研究意義........................................................................51.1.4面臨的挑戰(zhàn)......................
5、..............................................................61.2相關(guān)研究...................................................................................................71.2.1文本的主題模型............................................................................71.2.2基于深度學(xué)習(xí)的文本表示模型.....................
6、...............................111.2.3問答技術(shù)........................................................................................161.2.4文本分類算法................................................................................181.3本文的工作與創(chuàng)新..............................................................
7、.....................211.4論文結(jié)構(gòu)...................................................................................................25第二章基于文本主題模型的用戶身份關(guān)聯(lián)方法................................................272.1研究背景與意義.
