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Mastering Text Mining with R
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Mastertext-tamingtechniquesandbuildeffectivetext-processingapplicationswithRAboutThisBook?Developalltherelevantskillsforbuildingtext-miningappswithRwiththiseasy-to-followguide?Gainin-depthunderstandingofthetextminingprocesswithlucidimplementationintheRlanguage?Example-richguidethatletsyougainhigh-qualityinformationfromtextdataWhoThisBookIsForIfyouareanRprogrammer,analyst,ordatascientistwhowantstogainexperienceinperformingtextdataminingandanalyticswithR,thenthisbookisforyou.Exposuretoworkingwithstatisticalmethodsandlanguageprocessingwouldbehelpful.WhatYouWillLearn?GetacquaintedwithsomeofthehighlyefficientRpackagessuchasOpenNLPandRWekatoperformvariousstepsinthetextminingprocess?AccessandmanipulatedatafromdifferentsourcessuchasJSONandHTTP?Processtextusingregularexpressions?Gettoknowthedifferentapproachesoftaggingtexts,suchasPOStagging,togetstartedwithtextanalysis?Exploredifferentdimensionalityreductiontechniques,suchasPrincipalComponentAnalysis(PCA),andunderstanditsimplementationinR?Discovertheunderlyingthemesortopicsthatarepresentinanunstructuredcollectionofdocuments,usingcommontopicmodelssuchasLatentDirichletAllocation(LDA)?Buildabaselinesentencecompletingapplication?PerformentityextractionandnamedentityrecognitionusingRInDetailTextMining(ortextdataminingortextanalytics)istheprocessofextractingusefulandhigh-qualityinformationfromtextbydevisingpatternsandtrends.Rprovidesanextensiveecosystemtominetextthroughitsmanyframeworksandpackages.Startingwithbasicinformationaboutthestatisticsconceptsusedintextmining,thisbookwillteachyouhowtoaccess,cleanse,andprocesstextusingtheRlanguageandwillequipyouwiththetoolsandtheassociatedknowledgeaboutdifferenttagging,chunking,andentailmentapproachesandtheirusageinnaturallanguageprocessing.Movingon,thisbookwillteachyoudifferentdimensionalityreductiontechniquesandtheirimplementationinR.Next,wewillcoverpatternrecognitionintextdatautilizingclassificationmechanisms,performentityrecognition,anddevelopanontologylearningframework.Bytheendofthebook,youwilldevelopapracticalapplicationfromtheconceptslearned,andwillunderstandhowtextminingcanbeleveragedtoanalyzethemassivelyavailabledataonsocialmedia.StyleandapproachThisbooktakesahands-on,example-drivenapproachtothetextminingprocesswithlucidimplementationinR.

Ashish Kumar, Avinash Paul ·自動化 ·4.1萬字

天才與算法:人腦與AI的數學思維
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本書為我們展現了人工智能是如何逐步變得強大,怎樣支持我們人類的創造力,以及它們開始進行創造性的藝術創作。引導讀者去認知人類創造力的本質,探索了算法、數學思維和藝術創作之間的關系,并為未來人類與機器的共生關系描繪出一個更加積極、出人意料的愿景。牛津大學著名數學家馬庫斯·杜·索托伊(MarcusduSautoy)在數論方面的研究,讓他游走在當今人類數學理解力的最前沿。他一直關注跟蹤人工智能將如何豐富和改變甚至顛覆我們對于人類創造力意義的理解。在令人困惑的人工智能科學里可以為各位導航的,很難想象還有誰能更出其右。在本書中,作者思考了人工智能對創造力的未來意味著什么。從洛夫萊斯的預言到AlphaGo與人類博弈并“戰勝人類”,小到擇偶、大到向公眾發布新聞,從數學到文學,從音樂到繪畫,Google搜索引擎的“爬蟲算法”,網飛公司為用戶推薦電影,“波洛克化器”可以制作出波洛克風格的滴畫,機器從J.K.羅琳的靈感中衍生出以假亂真的續集,而音樂創作算法“艾米”成功地愚弄了一大幫研究巴赫的專家。人工智能和機器學習的魅影在這些領域里潛行。但是,這些程序只是進行模仿,還是它們已經具備了創造所需的所有條件?

(英)馬庫斯·杜·索托伊 ·自動化 ·18萬字

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