R: Plots semantic coherence and exclusivity for each topic.

topicQuality {stm} | R Documentation

## Plots semantic coherence and exclusivity for each topic.

### Description

Plots semantic coherence and exclusivity for each topic. Does not support models with content covariates.

### Usage

    topicQuality(
      model,
      documents,
      xlab = "Semantic Coherence",
      ylab = "Exclusivity",
      labels = 1:ncol(model$theta),
      M = 10,
      ...
    )

### Arguments

`model` | Output from stm, or a selected model from selectModel.
`documents` | The documents (see `stm` for format).
`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.

### Details

Each model has semantic coherence and exclusivity values associated with each topic. This function plots these values and labels each with its topic number.

### Examples

    ## 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)

[Package stm version 1.3.6 Index]