Description Usage Arguments Value Examples
View source: R/topicmodellingFunctions.R
Produce a plot with using 4 optimisationg techniques to determine range of optimal topic numbers for the LDA model.
1 2 | estTopics(tweetDataFrameTokenized, minTopics = 2, maxTopics = 30,
stepNum = 1)
|
tweetDataFrameTokenized |
Dataframe object containing word tokens from tweets (Output of tokenizeTweets()) |
minTopics |
Lower bound of topics to be optimised over. |
maxTopics |
Upper bound of topics to be optimised over. |
stepNum |
Optimisation step amount. (1 will take longer but be more accurate) |
Optimised range of topics for specific data frame variable.
1 | estTopics(tweetDataFrameTokenized,2,30,1
|
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