callWordCloud: Compute wordCloud of the input entities

In kwanjeeraw/radiant.wordcloud: Builds on the radiant.data package

Description

Compute wordCloud of the input entities

Usage

callWordCloud()

Arguments

txtinput	a character vector of entities e.g. c('pubchemId1', 'pubchemId2'). The value can be neo4j ids or grinn ids, see details and see convertId for how to convert ids. For Mesh annotation, PubChem CIDs are required.
wordtable	a string specifying a node type. It can be one of compound (default), protein, gene, pathway, rna, dna.

Value

list of data frame of nodes, edges and wordcloud. The nodes data frame contains input attributes. The edges data frame contains annotation pairs. The data frame of wordcloud contains the following components:

Author(s)

Kwanjeera W [e-mail]

References

http://www.sthda.com/english/wiki/text-mining-and-word-cloud-fundamentals-in-r-5-simple-steps-you-should-know

See Also

tm, wordcloud

Examples

#txtinput <- c(1110,10413,196,51,311,43,764,790) #compute wordCloud for given pubchem compounds
#result <- computeNodeWordCloud(txtinput=txtinput, nodetype="compound", annotation="mesh", internalid=FALSE)
#wordcloud::wordcloud(words = result$wordcloud$nodename, freq = result$wordcloud$freq, scale=c(2,.1),min.freq = 1,max.words=50, random.order=FALSE, rot.per=0.5, colors=RColorBrewer::brewer.pal(8, "Dark2"))
#barplot(result$wordcloud$freq[1:10], las = 2, names.arg = result$wordcloud$nodename[1:10], col ="lightblue", main ="Most frequent words", ylab = "Word frequencies")

kwanjeeraw/radiant.wordcloud documentation built on May 20, 2019, 7:27 p.m.