Python基于Django LayUI HBase的文献数据挖掘系统.zip

1.Computer Vision 2.NLP(Natural Language Processing) 3.Machine Learning Methods and Applications 4.Game Theory and Economic Paradigms 5.Deep Neural Networks 6.Knowledge Representation and Heuristic Search 0.1436【2018-Knowledge Representation and Heuristic Search】知识表现和垂直搜索 0.2830【2018-NLP】 0.1908【2018-Deep Neural Networks】 0.2932【2018-Machine Learning Methods and Applications】 0.1393【2018-Game Theory and Economic Paradigms】博弈论和经济范式 2018年主题结果： 2018年第1个topic的关键词如下【1】： ('learning', 0.028675441400058566) ('domain', 0.009052417298334973) ('statistical', 0.007737311803791184) ('network', 0.007697895253562075) ('distribution', 0.007484548476531496) ('security', 0.006992771504912117) ('neural', 0.006953845574452056) ('control', 0.006577107386280877) ('optimal', 0.006361207152376025) ('understanding', 0.0063032324366773095) ('sequence', 0.0062786626943141955) ('compression', 0.006260994876438756) ('learningneural', 0.006213182053860399) ('description', 0.006185816345283044) ('active', 0.006105588252194645) 2018年第2个topic的关键词如下【6】： ('learning', 0.03792239881941013) ('network', 0.012191020489044095) ('model', 0.010524970488960072) ('neural', 0.009747273965235522) ('game', 0.008462141656268114) ('representation', 0.007519471421974037) ('system', 0.007323879756411916) ('social', 0.007307473929547505) ('search', 0.00661171193926408) ('language', 0.006473293630833465) ('classification', 0.006289039593938776) ('deep', 0.006176626533585951) ('analysis', 0.005956157810921314) ('optimization', 0.005592910247971667) ('theory', 0.005537470919988222) 2018年第3个topic的关键词如下【2】： ('network', 0.039469698258313514) ('learning', 0.02954326302152962) ('adversarial', 0.022673374678391464) ('detection', 0.022539118338048718) ('language', 0.019957312912796645) ('representation', 0.019917795702395807) ('deep', 0.01987722447781593) ('neural', 0.019182786925700912) ('question', 0.014855857425129269) ('intelligence', 0.013909466727528245) ('dialogue', 0.012738852333663947) ('extraction', 0.012434192976128355) ('reinforcement', 0.012130650170577895) ('graph', 0.01192412851110725) ('lstm', 0.011848003828682842) 2018年第4个topic的关键词如下【5】： ('learning', 0.05888332064483721) ('network', 0.02576512558951354) ('neural', 0.0208997157720258) ('deep', 0.018797362810214227) ('model', 0.010039615232802071) ('graph', 0.007785749692668649) ('reinforcement', 0.007589854902791252) ('machine', 0.007464065625377172) ('language', 0.006294115541371474) ('representation', 0.005790256462386053) ('recognition', 0.005737908771371344) ('system', 0.005482467358445152) ('optimization', 0.005258833743756232) ('classification', 0.004979452608876411) ('analysis', 0.004892658726147726) 2018年第5个topic的关键词如下【3】： ('learning', 0.028486414230600384) ('neural', 0.026954339793281986) ('planning', 0.02693726601281138) ('network', 0.02345090545436573) ('process', 0.0214567541546784) ('game', 0.02062849743103769) ('kernel', 0.019377825999504626) ('latent', 0.016219708253650583) ('model', 0.01619622952424536) ('reduction', 0.015996301996315302) ('machine', 0.015985208984562054) ('voting', 0.015938665483072698) ('deep', 0.015398256348144082) ('matrix', 0.015232351382834502) ('plan', 0.014936291872384473) 2018年第6个topic的关键词如下【4】： ('learning', 0.0328558793401087) ('game', 0.01115235569922989) ('model', 0.010886146646710176) ('social', 0.010235678319428483) ('planning', 0.010067167037907561) ('network', 0.00859151135926083) ('search', 0.0073466454367101175) ('optimization', 0.007278956132295205) ('reasoning', 0.007215409004228908) ('theory', 0.006224489753394379) ('machine', 0.005873541935206855) ('decision', 0.005546171062133966) ('system', 0.005503721482491331) ('logic', 0.005465608606207763) ('problem', 0.005043161811546967) #################################################################################################################################### 下面是keywords 15个关键词 #################################################################################################################################### 2014年主题结果： 2014年第1个topic的关键词如下： ('learning', 0.028697455371788416) ('domain', 0.009434094671535078) ('statistical', 0.0079449829944227) ('network', 0.007679754126313084) ('distribution', 0.007579938789082799) ('security', 0.007143183260438599) ('neural', 0.006926229975948109) ('control', 0.00672267789095503) ('description', 0.006450124618934842) ('optimal', 0.00638005784705165) ('understanding', 0.006260815771309913) ('compression', 0.006232479453170214) ('hashing', 0.006167044641174243) ('sequence', 0.006135746582618344) ('active', 0.006130302504060811) 2014年第2个topic的关键词如下： ('learning', 0.03837388207986102) ('network', 0.012199341995178579) ('model', 0.010569982743990625) ('neural', 0.009716483684841484) ('game', 0.00848243455920529) ('representation', 0.007577357467729198) ('system', 0.007353971703367345) ('social', 0.007350522988345484) ('search', 0.006643753935055821) ('language', 0.006522705544772202) ('classification', 0.006315769865791818) ('deep', 0.006188064670300111) ('analysis', 0.005976936914651873) ('optimization', 0.005613071270470532) ('theory', 0.005560360703429701) 2014年第3个topic的关键词如下： ('network', 0.03967231299036327) ('learning', 0.029570901927926028) ('detection', 0.022743190608151068) ('adversarial', 0.022693849453661707) ('language', 0.019964859939330306) ('representation', 0.019928002735654777) ('deep', 0.019896450484349768) ('neural', 0.019185636573373115) ('question', 0.014859866211048161) ('intelligence', 0.01391304040703738) ('dialogue', 0.012733998223601576) ('extraction', 0.012462162795070139) ('reinforcement', 0.012144144821796845) ('graph', 0.011940946781521076) ('lstm', 0.011861476473730542) 2014年第4个topic的关键词如下： ('learning', 0.05924999238888865) ('network', 0.02621274433785795) ('neural', 0.020656167555141672) ('deep', 0.018491060995427442) ('model', 0.010148375839279113) ('graph', 0.007852655026062494) ('reinforcement', 0.0076561842627126545) ('machine', 0.007531326979231456) ('language', 0.006360303976397898) ('representation', 0.00585387377094468) ('recognition', 0.005775685644853354) ('system', 0.0055284918879108195) ('optimization', 0.005307307541727069) ('classification', 0.005017505011685302) ('analysis', 0.00493215382089964) 2014年第5个topic的关键词如下： ('learning', 0.028532801989738326) ('neural', 0.026987455454102034) ('planning', 0.026963984333690343) ('network', 0.023485219564393547) ('process', 0.021938518193941662) ('game', 0.020653275995042065) ('kernel', 0.019484314675909907) ('latent', 0.01624133769251634) ('model', 0.016208999137798275) ('reduction', 0.01604295095252299) ('machine', 0.01599274093369158) ('voting', 0.015934517581221427) ('deep', 0.015400695817583106) ('matrix', 0.015236324343024693) ('plan', 0.014947436499497832) 2014年第6个topic的关键词如下： ('learning', 0.03386755758598407) ('game', 0.011099880036909543) ('model', 0.010725711982847833) ('social', 0.010491425787851835) ('planning', 0.010036363843805561) ('network', 0.008539707748394973) ('reasoning', 0.007605492139116972) ('search', 0.007457577206894742) ('optimization', 0.007188041224889242) ('theory', 0.006241014463907807) ('machine', 0.005871136734025318) ('system', 0.0055884653153758165) ('decision', 0.005547046889194952) ('logic', 0.0054919768446714074) ('problem', 0.0050431825738252644) 2015年主题结果： 2015年第1个topic的关键词如下： ('learning', 0.028557253490838694) ('domain', 0.009407738177729384) ('statistical', 0.007922691719345449) ('network', 0.007677385686263338) ('distribution', 0.007575429887762342) ('security', 0.007138176617503544) ('neural', 0.006924862698788655) ('control', 0.006723803425599113) ('description', 0.006450037846597463) ('optimal', 0.00638025215836409) ('understanding', 0.0062608956268158334) ('compression', 0.006233789007159101) ('hashing', 0.006166829540650489) ('sequence', 0.0061355262370159395) ('active', 0.006130245330897237