Plots semantic coherence and exclusivity for each topic.
Plots semantic coherence and exclusivity for each topic. Does not support models with content covariates.
topicQuality( model, documents, xlab = "Semantic Coherence", ylab = "Exclusivity", labels = 1:ncol(model$theta), M = 10, ... )
model |
Output from stm, or a selected model from selectModel. |
documents |
The documents (see |
xlab |
Character string that is x axis title. This should be semantic coherence. |
ylab |
Character string that is y axis title. This should be exclusivity. |
labels |
Vector of number corresponding to topic numbers. |
M |
Number of words to use in semantic coherence and exclusivity calculations |
... |
Other plotting parameters from igraph. |
Each model has semantic coherence and exclusivity values associated with each topic. This function plots these values and labels each with its topic number.
## Not run: #Semantic Coherence calculations require the original documents so we need #to reconstruct them here. temp<-textProcessor(documents=gadarian$open.ended.response,metadata=gadarian) meta<-temp$meta vocab<-temp$vocab docs<-temp$documents out <- prepDocuments(docs, vocab, meta) docs<-out$documents vocab<-out$vocab meta <-out$meta topicQuality(model=gadarianFit, documents=docs) ## End(Not run)
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