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Mastering Text Mining with R
最新章節:
Index
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.
最新章節
- Index
- Summary
- Named entity recognition
- Sentence boundary detection
- Entity extraction
- Chapter 7. Entity Recognition
品牌:中圖公司
上架時間:2021-04-02 18:23:14
出版社:Packt Publishing
本書數字版權由中圖公司提供,并由其授權上海閱文信息技術有限公司制作發行