tweetLDA: tweetLDA

In jakubk28/TwitterDMTools: Twitter Data mining tools

Description

Create a latent Dirichlet allocation cluster model for a tweet data frame.

Usage

tweetLDA(tweetDataFrameTokenized, numberOfTopics)

Arguments

tweetDataFrameTokenized	Dataframe object containing word tokens from tweets (Output of tokenizeTweets())
numberOfTopics	Number of topics associated with the corpus, this is the amount of groups the clustering algorithm will split the model into. If number of topics is unknown, use (guess function) first to estimate.

Value

Model type object.

Examples

tweetLDA(tweetDataFrameTokenized,8)

jakubk28/TwitterDMTools documentation built on June 25, 2021, 4:12 p.m.