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.Rhistory
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allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<ornithologists\\>)", replacement="ornithologist")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<outdoors\\>)", replacement="outdoor")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<painter\\>|\\<painting\\>)", replacement="paint")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pennies\\>)", replacement="penny")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<performance\\>)", replacement="perform") #as in doing somehting for others to see.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<petting\\>)", replacement="pet")
#"physical science" -> physics, physical as related to physics -> "physics". All other instances of "physical" kept. Changes done directly in excerpts.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pieces\\>)", replacement="piece")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pigs\\>)", replacement="pig")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<planting\\>)", replacement="plant")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pointing\\>)", replacement="point")
#pose as in pose questions changed to ask in excerpt.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<possibly\\>)", replacement="possible")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<potentially\\>)", replacement="potential")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<programs\\>)", replacement="program")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<promoted\\>|\\<promoting\\>)", replacement="promote")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<prompting\\>)", replacement="prompt")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<purposes\\>)", replacement="purpose")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pushing\\>)", replacement="push")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<puzzling\\>)", replacement="puzzle")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<rains\\>|\\<rainfall\\>)", replacement="rain")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<randomly\\>)", replacement="random")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<ranged\\>)", replacement="range")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<ratings\\>)", replacement="rating")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<reactions\\>)", replacement="react")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<readings\\>|\\<reading\\>|\\<read\\>)", replacement="read")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<readily\\>)", replacement="ready")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<reasons\\>)", replacement="reason")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<recalling\\>)", replacement="recall")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<received\\>)", replacement="receiving")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<recognised\\>)", replacement="recognise")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<records\\>)", replacement="record")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<resonant\\|\\<resonated\\>)", replacement="resonate")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<respects\\>)", replacement="respect")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<responding\\|\\<responded\\|\\<responds\\>)", replacement="respond")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<resulted\\>)", replacement="result")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<returning\\>)", replacement="return")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<revealed\\>)", replacement="reveal")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<rocks\\>)", replacement="rock")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<routes\\>)", replacement="route")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<routines\\>)", replacement="routine")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<safely\\>)", replacement="safety")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<samples\\>)", replacement="sample")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sandy\\>)", replacement="sand")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<saw\\>|\\<seeing\\>|\\<seen\\>)", replacement="see")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<says\\>|\\<said\\>)", replacement="say")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<scales\\>)", replacement="scale")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<schooling\\>)", replacement="school")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<seasonal\\>|\\<seasons\\>)", replacement="season")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sections\\>)", replacement="section")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<seeds\\>)", replacement="seed")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<senses\\>)", replacement="sense")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<separated\\>|\\<seperately\\>)", replacement="separate")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sequences\\>)", replacement="sequence")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sat\\>|\\<setting\\>)", replacement="set") #as in the act of setting stuff up
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<shapes\\>)", replacement="shape")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sharable\\>|\\<sharing\\>|\\<shared\\>)", replacement="share")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<shells\\>)", replacement="shell")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<significance\\>)", replacement="significant")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sixth\\>)", replacement="six")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<slowmations\\>)", replacement="slowmation")
#small groups and small group changed to smallgroup directly in excerpts.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<smelling\\>|\\<smelly\\>)", replacement="smell")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<snails\\>)", replacement="snail")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<snowfall\\>)", replacement="snow")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<somethings\\>)", replacement="something")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<songs\\>)", replacement="song")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sorted\\>)", replacement="sort")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<spanned\\>)", replacement="spans")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<specifically\\>)", replacement="specific")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<speeding\\>)", replacement="speed")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<spilled\\>)", replacement="spill")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<splits\\>)", replacement="split")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<spontaneously\\>)", replacement="spontaneous")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<spots\\>)", replacement="spot")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<squeezed\\>)", replacement="squeeze")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<standardize\\>|\\<standards\\>)", replacement="standard")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<stereotypical\\>)", replacement="stereotype")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<stopped\\>)", replacement="stop")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<stored\\>)", replacement="store")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<strategies\\>|\\<strategic\\>)", replacement="strategy")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<strengths\\>)", replacement="strength")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<stretching\\>|\\<stretched\\>)", replacement="stretch")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<striped\\>)", replacement="stripes")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<striving\\>)", replacement="strive")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<suitability\\>)", replacement="suitable")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<survive\\>)", replacement="survival")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<stretching\\>|\\<stretched\\>)", replacement="stretch")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<symbolic\\>|\\<symbols\\>)", replacement="symbol")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<table2\\>|\\<table1\\>)", replacement="table")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<teams\\>)", replacement="team")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tells\\>)", replacement="tell")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<textbook\\>|\\<texts\\>)", replacement="text")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<things\\>)", replacement="thing")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<thinking\\>|\\<thinks\\>)", replacement="think")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tools\\>)", replacement="tool")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<totally\\>)", replacement="total")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<towards\\>)", replacement="toward")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<toys\\>)", replacement="toy")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tracing\\>)", replacement="trace")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tracks\\>)", replacement="track")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<training\\>)", replacement="train")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<transformed\\>)", replacement="transform")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<transitioning\\>|\\<transitioned\\>)", replacement="transition")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<triggered\\>)", replacement="triggers")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<trying\\>)", replacement="try")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tubs\\>)", replacement="tub")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<turned\\>)", replacement="turn") #as in focused their attention on, whereas "turns" relates to taking turns.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<twisting\\>|\\<twisted\\>)", replacement="twist") #as in the action of turning something, not "with a twist".
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<underlying\\>)", replacement="underlie")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<utilizing\\>|\\<utilized\\>)", replacement="utilize")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<valuable\\>|\\<valuing\\>|\\<valued\\>|\\<values\\>)", replacement="value") #hmmm..
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<variables\\>)", replacement="variable") #as in concept of "a variable" parameter
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<vignettes\\>)", replacement="vignette")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<vocabularies\\>)", replacement="vocabulary")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<went\\>)", replacement="go")
#whats changed to what is
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<walked\\>|\\<walks\\>>|\\<walking\\>>)", replacement="walk") # as in either "to walk" and "a walk".
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<wanted\\>)", replacement="want")
#wasnt changed to was not in excerpt
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<watching\\>)", replacement="watch")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<weeks\\>|\\<weekly\\>>)", replacement="week")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<watching\\>)", replacement="watch")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<wooden\\>)", replacement="wood")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<worked\\>)", replacement="work") #but not "workers"
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<worlds\\>)", replacement="world")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<younger\\>)", replacement="young")
#Spliting words
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<subtopic\\>|\\<subtopics\\>)", replacement="sub topic")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<threephase\\>)", replacement="three phase")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<twophase\\>)", replacement="two phase")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<threeweek\\>)", replacement="three week")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<videotaped\\>)", replacement="video taped")
#theres (as in there's) changed to "there is" directly in excerpts
#Specific names -> function in study
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<james\\>)", replacement="example_child") #example_child is a fictional child used in instructional materials.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tom\\>)", replacement="example_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<john\\>)", replacement="example_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<gina\\>)", replacement="example_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tony\\>)", replacement="example_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<lilly\\>)", replacement="example_animal")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<thelmas\\>)", replacement="example_animal")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<jane\\>)", replacement="study_scienctist") #a rolemodel for childreni n the study??
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<peter\\>)", replacement="study_scienctist")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<chris\\>)", replacement="study_scienctist")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<johannah\\>)", replacement="study_child") #a child observed and analysed in the study
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<lily\\>)", replacement="study_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<lucy\\>)", replacement="study_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<markus\\>)", replacement="study_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<simon\\>)", replacement="study_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<susie\\>|\\<susies\\>|\\<susieastheball\\>|\\<susie3\\>)", replacement="study_child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<cora\\>)", replacement="study_teacher")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<mrstreadwell\\>)", replacement="study_teacher")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<mrscasey\\>)", replacement="study_teacher")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<becky\\>)", replacement="study_teacher")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<shane\\>)", replacement="study_teacher")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<ppts\\>)", replacement="study_teacher")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pts\\>)", replacement="study_teacher")
#May 9th 2020: Changed Child: and other instances of named or specific children that appear in studies to "study_child".
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<wouassammeeschtendran\\>)", replacement="non-english-sentence")
##SYNONYMS
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<Empirical\\>|\\<theories\\>|\\<theories\\>|\\<theory\\>)", replacement="theory")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<certain\\>)", replacement="specific")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<elementary\\>)", replacement="primary")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<constitue element\\>)", replacement="phase")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<inquiry_based\\>|\\<inquirybased\\>|\\<inquiryframed\\>|\\<inquiryoriented\\>)", replacement="ibse")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<directed\\>|\\<directing\\>|\\<direct\\>|\\<instructed\\>|\\<instruct\\>|\\<steer\\>)", replacement="instruct_guide")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<curiosity\\>|\\<interesting\\>|\\<interests\\>|\\<interests\\>|\\<interested\\>)", replacement="interest")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<instructors\\>)", replacement="educators")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<teacher trainer\\>|\\<pilot centre trainer\\>|\\<the trainer\\>)", replacement="teacher_trainer")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<kids\\>)", replacement="child")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<likely\\>|\\<probably\\>)", replacement="probable")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<lives\\>|\\<live\\>)", replacement="live_habitat") #lives as in plural of life -> life.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pretence\\>|\\<pretend\\>|\\<pretending\\>|\\<makebelieve\\>|\\<played\\>|\\<playing\\>)", replacement="play")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<onus\\>|\\<responsibilities\\>)", replacement="responsibility")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<papers\\>)", replacement="article") #papers in plural only used as articles in excerpts.
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<photographing\\>|\\<photographer\\>|\\<photographed\\>|\\<photos\\>|\\<photo\\>|\\<pictogram\\>|\\<pictures\\>)", replacement="picture")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<playdough\\>)", replacement="playdoh")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<prints\\>)", replacement="print")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<previously\\>|\\<prior\\>)", replacement="previous")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<immediately\\|\\<promptly\\>>)", replacement="immediate")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<pupils>\\)", replacement="pupil")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<reasoning\\>)", replacement="thinking")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<schoolyard\\>)", replacement="playground")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<sciencey\\>)", replacement="sciencelike")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<book\\>)", replacement="text")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<at times\\>|\\<at other times\\>>)", replacement="sometimes")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<track\\>|\\<trace\\>>)", replacement="track_trace")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tubs\\>|\\<bathtub\\>>)", replacement="tub")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<tv\\>)", replacement="television")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<vs\\>)", replacement="versus")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<secondgrade\\>)", replacement="2ndgrade")
allEmpirical <- tm_map(allEmpirical, content_transformer(gsub), pattern = "(\\<first graders\\>)", replacement="1stgrade")
wordstoremove<-c(stopwords("english"),"can","also","although","may","maybe","moreover","mostly","onto","per se", "really","therefore","though","thus",
"xl011","xl021","xl051","xl071","xn011","xn031","xn051","xn071","xq011","xq031","xq041","xq051","xs021","xs091","xs111","xs121",
"2013appendixfp10","20132014","1b","p234","p141")
#allFilesx <- tm_map(allFilesx, removeWords, c("endoffile"))
allEmpirical<-tm_map(allEmpirical,stripWhitespace)
myWordNetwork <- function (txt,j.words) {
# Clean data
#remove capitalization
#corpus.temp <- tm_map(corpus, tolower)
#Remove punctuations and other unnecessary things
#corpus.removed.punc <- tm_map(corpus.temp, removePunctuation)
#Remove numbers
#corpus.removed.numb <- tm_map(corpus.removed.punc, removeNumbers)
#Remove Whitespaces
#corpus.removed.white <- tm_map(corpus.removed.punc, stripWhitespace)
#corpus <- Corpus(DataframeSource(data.frame(data)))
#prepare for stemming (language is english, but TM has a package for other
#languages)
#corpus.temp <- corpus.removed.white
#corpus.copy <- corpus.temp
#corpus.temp <- tm_map(corpus.temp, stemDocument, language = language)
#corpus.final <- tm_map(corpus.temp, stemCompletion,
# dictionary = corpus.copy)
#corpus.final<-corpus.temp
#Prepare to remove "stopwords" such as "A", "The", e.t.c.
# keep "declarative words"
#my.stopwords <- stopwords("english")
#my.stopwords <- my.stopwords[!(my.stopwords %in% j.words)]
#Remove stopwrods
#corpus.crop <- tm_map(corpus.removed.white,removeWords,c(my.stopwords))
# Create edge list for export
edge.list <-strsplit(as.matrix(txt), split = " ")[[1]]
#Remove unnecessary
#edge.list<-as.matrix(corpus.final[[1]])
#edge.list <- edge.list[edge.list!=""]
#edge.list<-strsplit(edge.list,split=" ")
# index of "declarative words" (the -1 is because we're removing first and
# last word to make it into a word-network
node.num <- length(edge.list[!(edge.list %in% j.words)]) - 1
#Create matrix to be exported
export.edge.list <- array("",dim=c(node.num,2))
#Set column names as per Gephi requirements
#colnames(export.edge.list) <- c("Source","Target","Label")
# Put source word except the "joining words into the matrix to be exported
export.edge.list[,1] <- edge.list[!(edge.list %in% j.words)][-length(edge.list[!(edge.list %in% j.words)])]
# put the target word except the "joining words into the matrix to be exported
export.edge.list[,2] <- edge.list[!(edge.list %in% j.words)][-1]
#Go through the joining words and put them in
# for(i in j.words) {
# for (j in which(edge.list %in% i)) {
# export.edge.list[j - sum(!which(edge.list %in% j.words) > j), 3] <- i
# }
#}
return(export.edge.list)
}
edgelistsEmpirical<-lapply(allEmpirical,myWordNetwork,j.words=wordstoremove)
graphsEmpirical<-list()
for (i in 1:35){
graphsEmpirical[[i]]<-graph.edgelist(edgelists[[i]],directed=T)
}
allEdgeEmpirical<-rbind(edgelistsEmpirical[[1]],edgelistsEmpirical[[2]],edgelistsEmpirical[[3]],edgelistsEmpirical[[4]],edgelistsEmpirical[[5]],edgelistsEmpirical[[6]],edgelistsEmpirical[[7]],edgelistsEmpirical[[8]],edgelistsEmpirical[[9]],edgelistsEmpirical[[10]],
edgelistsEmpirical[[11]],edgelistsEmpirical[[12]],edgelistsEmpirical[[13]],edgelistsEmpirical[[14]],edgelistsEmpirical[[15]],edgelistsEmpirical[[16]],edgelistsEmpirical[[17]],edgelistsEmpirical[[18]],edgelistsEmpirical[[19]],edgelistsEmpirical[[20]],
edgelistsEmpirical[[21]],edgelistsEmpirical[[22]],edgelistsEmpirical[[23]],edgelistsEmpirical[[24]],edgelistsEmpirical[[25]],edgelistsEmpirical[[26]],edgelistsEmpirical[[27]],edgelistsEmpirical[[28]],edgelistsEmpirical[[29]],edgelistsEmpirical[[30]],
edgelistsEmpirical[[31]],edgelistsEmpirical[[32]],edgelistsEmpirical[[33]],edgelistsEmpirical[[34]],edgelistsEmpirical[[35]])
articlesE<-lapply(edgelistsEmpirical,graph.edgelist,directed=T)
for (i in 1:length(articlesE)){
E(articlesE[[i]])$weight<-1
articlesE[[i]]<-simplify(articlesE[[i]],edge.attr.comb="sum")
articlesE[[i]]<-delete.vertices(articlesE[[i]],which(V(articlesE[[i]])$name=="break"))
}
article01E<-graph.edgelist(edgelistsEmpirical[[1]],directed=T)
article02E<-graph.edgelist(edgelistsEmpirical[[2]],directed=T)
article03E<-graph.edgelist(edgelistsEmpirical[[3]],directed=T)
article04E<-graph.edgelist(edgelistsEmpirical[[4]],directed=T)
article05E<-graph.edgelist(edgelistsEmpirical[[5]],directed=T)
article06E<-graph.edgelist(edgelistsEmpirical[[6]],directed=T)
article07E<-graph.edgelist(edgelistsEmpirical[[7]],directed=T)
article08E<-graph.edgelist(edgelistsEmpirical[[8]],directed=T)
article09E<-graph.edgelist(edgelistsEmpirical[[9]],directed=T)
article10E<-graph.edgelist(edgelistsEmpirical[[10]],directed=T)
article11E<-graph.edgelist(edgelistsEmpirical[[11]],directed=T)
article12E<-graph.edgelist(edgelistsEmpirical[[12]],directed=T)
article13E<-graph.edgelist(edgelistsEmpirical[[13]],directed=T)
article14E<-graph.edgelist(edgelistsEmpirical[[14]],directed=T)
article15E<-graph.edgelist(edgelistsEmpirical[[15]],directed=T)
article16E<-graph.edgelist(edgelistsEmpirical[[16]],directed=T)
article17E<-graph.edgelist(edgelistsEmpirical[[17]],directed=T)
article18E<-graph.edgelist(edgelistsEmpirical[[18]],directed=T)
article19E<-graph.edgelist(edgelistsEmpirical[[19]],directed=T)
article20E<-graph.edgelist(edgelistsEmpirical[[20]],directed=T)
article21E<-graph.edgelist(edgelistsEmpirical[[21]],directed=T)
article22E<-graph.edgelist(edgelistsEmpirical[[22]],directed=T)
article23E<-graph.edgelist(edgelistsEmpirical[[23]],directed=T)
article24E<-graph.edgelist(edgelistsEmpirical[[24]],directed=T)
article25E<-graph.edgelist(edgelistsEmpirical[[25]],directed=T)
article26E<-graph.edgelist(edgelistsEmpirical[[26]],directed=T)
article27E<-graph.edgelist(edgelistsEmpirical[[27]],directed=T)
article28E<-graph.edgelist(edgelistsEmpirical[[28]],directed=T)
article29E<-graph.edgelist(edgelistsEmpirical[[29]],directed=T)
article30E<-graph.edgelist(edgelistsEmpirical[[30]],directed=T)
article31E<-graph.edgelist(edgelistsEmpirical[[31]],directed=T)
article32E<-graph.edgelist(edgelistsEmpirical[[32]],directed=T)
article33E<-graph.edgelist(edgelistsEmpirical[[33]],directed=T)
article34E<-graph.edgelist(edgelistsEmpirical[[34]],directed=T)
article35E<-graph.edgelist(edgelistsEmpirical[[35]],directed=T)
allNetEmpirical<-graph.edgelist(allEdgeEmpirical,directed=T)
E(allNetEmpirical)$weight<-1
allNetEmpirical<-delete.vertices(allNetEmpirical,v = which(V(allNetEmpirical)$name=="break"))
allNetEmpirical<-simplify(allNetEmpirical,remove.multiple=T,edge.attr.comb=list(weight="sum"))
prE<-page.rank(allNetEmpirical)
V(allNetEmpirical)$pr<-prE$vector
sort(prE$vector,decreasing = T)[1:10]
fgE<-fastgreedy.community(as.undirected(allNetEmpirical))
write.csv(V(allNetEmpirical)$name,"listNodesEmpirical.csv")
source("R_scripts/backboneExtraction.r")
V(allNetEmpirical)$id<-V(allNetEmpirical)$name
V(allNetTheoretical)$id<-V(allNetTheoretical)$name
freq<-strength(allNetTheoretical,mode = "all")
theoreticalBB<-backboneNetwork(allNetTheoretical,evalFunc = 1, alpha = 0.001)
fgTBB<-fastgreedy.community(as.undirected(theoreticalBB))
fgTBB
fgTBB$membership
table(fgTBB$membership)
Wij<-function(j,mem,g){
M<-length(unique(mem))
m<-which(mem==j)
dfm<-data.frame()
for(i in 1:length(m)){
x<-incident(g,m[i],mode="in")
a<-ends(g, x,names=F)
b<-get.edge.attribute(g,name="weight",x)
c<-mem[a[,1]] #HMMM:..
dfm<-rbind(dfm,data.frame(a,weight=b,module=c))
}
V<-vector()
for(l in 1:M){
V[l]<-sum(dfm$weight[dfm$module==l])
}
return(V)
}
makemap<-function(mem,g){
M<-length(unique(mem))
W<-matrix(NA,ncol=M,nrow=M)
for(j in 1:length(unique(mem))){
W[j,]<-Wij(j,mem,g)
}
##naming modules based on 10 largest pageranks
pr<-page.rank(g)
modulenames<-vector()
for(k in 1:length(unique(mem))){
modulenames[k]<-paste(c(k,names(sort(pr$vector[mem==k],decreasing = T)[1:3])),collapse = ";")
}
internalLinks<-diag(W)
n_words<-as.vector(table(mem))
h<-graph.adjacency(W,mode=c("directed"),weighted = T,diag = F)
V(h)$name<-modulenames #names of the 10 higest pagerank words in them module
V(h)$id<-modulenames
V(h)$n_words<-n_words #how many words in module
V(h)$internallinks<-internalLinks #how many internal links are in each module
return(h)
}
mapTheoretical<-makemap(fgTBB$membership,theoreticalBB)
mapTheoretical
mapTheoreticalrem<-delete.vertices(mapTheoretical,1)
mapTremBB<-backboneNetwork(mapTheoreticalrem,0.005,1)
V(mapTremBB)$n_words<-V(mapTheoreticalrem)$n_words
mapTremBB<-decompose.graph(mapTremBB)[[1]]
fgMTremBB<-fastgreedy.community(as.undirected(mapTremBB))
V(mapTremBB)$fastgreedy<-fgMTremBB$membership
V(mapTremBB)
mapTremBB
V(mapTremBB)$id
V(mapTremBB)$conceptualisations<-1
V(mapTBBrem)$concptualisations[c(10,11)]<-3
V(mapTBBrem)$concptualisations
V(mapTremBB)$conceptualisations<-1
V(mapTBBrem)$concptualisations
V(mapTBBrem)$conceptualisations
V(mapTBBrem)$conceptualisations<-1
V(mapTBBrem)$conceptualisations
V(mapTBBrem)$concptualisations[c(10,11)]<-3
V(mapTBBrem)$conceptualisations
V(mapTBBrem)$conceptualisations[c(10,11)]<-3
V(mapTBBrem)$conceptualisations[c(1,2,3,6,7,14,16)]<-3
V(mapTBBrem)$conceptualisations
V(mapTBBrem)$conceptualisations[c(1,2,3,6,7,14,16)]<-2
V(mapTBBrem)$conceptualisations
which(V(mapTBBrem)$conceptualisations==1)
V(mapTBBrem)$id[V(mapTBBrem)$conceptualisations==1]
V(mapTBBrem)$name[V(mapTBBrem)$conceptualisations==1]
mapTBBrem
mapTremBB
V(mapTremBB)$conceptualisations
V(mapTremBB)$conceptualisations[c(10,11)]<-3
V(mapTremBB)$conceptualisations[c(1,2,3,6,7,14,16)]<-2
V(mapTremBB)$conceptualisations
V(mapTremBB)$id[V(mapTremBB)$conceptualisations==1]
V(mapTremBB)$id[V(mapTremBB)$conceptualisations==2]
V(mapTremBB)$id[V(mapTremBB)$conceptualisations==3]
V(mapTremBB)$conceptualisations<-1
mapTremBB
V(mapTremBB)$conceptualisations
V(mapTremBB)$conceptualisations[c(10,11)]
V(mapTremBB)$conceptualisations[c(10,11)]<-3
V(mapTremBB)$conceptualisations[c(1,2,3,6,7,9,14,16)]<-2
mapOfCona<-makemap(V(mapTremBB)$conceptualisations,mapTremBB)
mapOfCona
plot(mapOfCona)
mapTremBB
mapOfCona
V(mapofCona)$n_words
V(mapOfCona)$n_words
E(mapOfCona)$n_words
E(mapOfCona)$weight
write.graph(mapOfCona,"mapmap.graphml",format="graphml")
mapTheoreticalrem
V(mapTheoreticalrem)$id
plot(mapTheoreticalrem)
E(mapTheoreticalrem)
get.edges(mapTheoreticalrem)
get.edges(mapTheoreticalrem,E(mapTheoreticalrem))
get.edges(mapTheoreticalrem,3
)
get.edges(mapTheoreticalrem)
get.edges(mapTheoreticalrem,E(mapTheoreticalrem))
E(mapTheoreticalrem)
E(mapTheoreticalrem)[51]
get.edges(mapTheoreticalrem,E(mapTheoreticalrem))
E(mapTheoreticalrem)[32]
E(mapTheoreticalrem)$weight[32]
E(mapTheoreticalrem)$weight[217]
toFromT<-get.edges(theoreticalBB,E(theoreticalBB))
length(toFromT[,1])
theoreticalBB
toFromT[fgTBB$membership==1,1]
toFromT[fgTBB$membership==3,]
toFromT[1:19,]
V(theoreticalBB)[toFromT[1:19,1]]
which(V(theoreticalBB)$id=="teacher")
fgTBB$modularity[V(theoreticalBB)$id=="teacher"]
fgTBB$membership[V(theoreticalBB)$id=="teacher"]
fgTBB$membership[V(theoreticalBB)]
fgTBB$membership[toFromT]
fgTBB$membership[toFromT[,1]]
toFromTCluster<-data.frame(fgTBB$membership[toFromT[,1]],fgTBB$membership[toFromT[,2]])
toFromTCluster
toFromCluster[toFromCluster[,1]==3]
toFromTCluster[toFromTCluster[,1]==3]
toFromTCluster[toFromTCluster[,1]==3,]
toFromTCluster[toFromTCluster[,1]==3 & toFromTCluster[,2]==16,]
toFromTCluster[toFromTCluster[,1]==16 & toFromTCluster[,2]==3,]
makemap<-function(mem,g){
M<-length(unique(mem))
W<-matrix(NA,ncol=M,nrow=M)
for(j in 1:length(unique(mem))){
W[,j]<-Wij(j,mem,g) #was W[j,i] - trying out this on June 21st 2020
}
##naming modules based on 10 largest pageranks
pr<-page.rank(g)
modulenames<-vector()
for(k in 1:length(unique(mem))){
modulenames[k]<-paste(c(k,names(sort(pr$vector[mem==k],decreasing = T)[1:3])),collapse = ";")
}
internalLinks<-diag(W)
n_words<-as.vector(table(mem))
h<-graph.adjacency(W,mode=c("directed"),weighted = T,diag = F)
V(h)$name<-modulenames #names of the 10 higest pagerank words in them module
V(h)$id<-modulenames
V(h)$n_words<-n_words #how many words in module
V(h)$internallinks<-internalLinks #how many internal links are in each module
return(h)
}
mapTheoretical<-makemap(fgTBB$membership,theoreticalBB)
mapTheoreticalrem<-delete.vertices(mapTheoretical,1)
mapTremBB<-backboneNetwork(mapTheoreticalrem,0.005,1)
V(mapTremBB)$n_words<-V(mapTheoreticalrem)$n_words
mapTremBB<-decompose.graph(mapTremBB)[[1]]
fgMTremBB<-fastgreedy.community(as.undirected(mapTremBB))
V(mapTremBB)$fastgreedy<-fgMTremBB$membership
write.graph(mapTremBB,"mapTBBrem21062020.graphml",format="graphml")
mapEmpirical<-makemap(fgEBB$membership,empiricalBB)
mapEBB<-backboneNetwork(mapEmpirical,0.005,1)
V(mapEBB)$n_words<-V(mapEmpirical)$n_words
mapEBB<-decompose.graph(mapEBB)[[1]]
fgMEBB<-fastgreedy.community(as.undirected(mapEBB))
V(mapEBB)$fastgreedy<-fgMEBB$membership
mapEmpiricalrem<-delete.vertices(mapEmpirical,13)
mapEremBB<-backboneNetwork(mapEmpiricalrem,0.005,1)
V(mapEremBB)$n_words<-V(mapEmpiricalrem)$n_words
mapEremBB<-decompose.graph(mapEremBB)[[1]]
fgMEremBB<-fastgreedy.community(as.undirected(mapEremBB))
V(mapEremBB)$fastgreedy<-fgMEremBB$membership
write.graph(mapEremBB,"mapEBB13rem21062020.graphml",format="graphml")
mapTBB<-backboneNetwork(mapTheoretical,0.005,1)
V(mapTBB)$n_words<-V(mapTheoretical)$n_words
mapTBB<-decompose.graph(mapTBB)[[1]]
fgMTBB<-fastgreedy.community(as.undirected(mapTBB))
V(mapTBB)$fastgreedy<-fgMTBB$membership
write.graph(mapTBB,"mapTBB21062020.graphml",format="graphml")
toFromTCluster[toFromTCluster[,1]==6 & toFromTCluster[,2]==2,]
E(theoreticalBB)$weight[495]
E(theoreticalBB)$weight[1336]
toFromTCluster[toFromTCluster[,1]==6 & toFromTCluster[,2]==16,]
toFromTCluster[toFromTCluster[,1]==6 & toFromTCluster[,2]==3,]
fgMTBB
fgMTremBB
mapEmpirical<-makemap(fgEBB$membership,empiricalBB)
mapEBB<-backboneNetwork(mapEmpirical,0.005,1)
V(mapEBB)$n_words<-V(mapEmpirical)$n_words
mapEBB<-decompose.graph(mapEBB)[[1]]
fgMEBB<-fastgreedy.community(as.undirected(mapEBB))
V(mapEBB)$fastgreedy<-fgMEBB$membership
write.graph(mapEBB,"mapEBB21062020.graphml",format="graphml")
fgMEBB
mapTremBB
fgMTremBB
allEmpirical
save(allEmpirical, file = "allEmpirical.RData")
load("allEmpirical.RData")