Looks for words that load exclusively onto a topic
Checks the log beta matrix for values too close to 0, which reflect words that load onto a single topic.
checkBeta(stmobject, tolerance = 0.01)
stmobject |
STM Model Output |
tolerance |
User specified input reflecting closeness to 1. E.g. a tolerance of .01 will flag any values greater than .99. Tolerance must be above 1e-6. |
The function checks the log beta matrix for values that exceed the tolerance threshold, indicating that a word has loaded onto a single topics. The output gives the user lists of which topics have problems, which words in which topics have problems, as well as a count of the total problems in topics and the total number of problem words.
Note that if the tolerance value is below 1e-6, this function will throw an error.
problemTopics |
A list of vectors, each vector corresponding to the set of topics in the relevant beta matrix that contain words with too high of a loading to that topic |
topicErrorTotal |
A list of integers, each corresponding to the total number of topics with problems in the relevant beta matrix |
problemWords |
A list of matrices, each corresponding to a relevant beta matrix, which gives the topic and word index of each word with too high of a topic loading |
wordErrorTotal |
A list of integers, each corresponding to the total words with problems for the relevant beta matrix |
check |
A boolean representing if the check was passed. If wordErrorTotal is all 0s (no errors), check is True. |
Antonio Coppola
checkBeta(gadarianFit)
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