cast.sparse.matrix | Cast data.frame to sparse matrix |
chi2 | Compute the chi^2 statistic for a 2x2 crosstab containing the... |
corpora.compare | Compare two corpora |
corpora.compare.list | The corpora.compare function for a list of dtm's |
create.index | Create an index file for plot.all.topics |
documents.compare | Compare the documents in two corpora/dtms |
documentsums | Get word assignments from LDA_GIBBS class (output of... |
documents.window.compare | Compare the documents in a dtm per time frame |
dtm.create | Create a document term matrix from a list of tokens |
dtm.filter | Filter a dtm by selecting documents or terms |
dtm.to.df | Convert a dtm into a "triples" data frame |
dtm.to.dfm | Convert a dtm into a quanteda dfm object (requires quanteda... |
dtmToSparseMatrix | Transform a dtm into a sparse matrix. |
dtm.wordcloud | Plot a word cloud from a dtm |
fill.time.gaps | Add empty values for pretty plotting |
getOverlapTerms | Get the overlapping terms between two documents in a dtm |
lda.fit | Estimate a topic model using the lda package |
lda.plot.alltopics | Plot all topics |
lda.plot.category | Plots topic values per category |
lda.plot.time | Plots topic values over time |
lda.plot.topic | Plots topic wordcloud, and attention over time and per... |
lda.plot.wordcloud | Plot wordcloud for LDA topic |
ldavis_json | Create JSON data for LDAvis |
order.meta | Add document meta to LDA output |
plotWords | Plot a wordcloud with words ordered and coloured according to... |
prepare.plot.values | Prepares the topic values per document for plotting |
prepare.time.var | Change date object to date_interval |
sotu | Tokens from Bush and Obama's State of the Union addresses |
splitDtm | Split a dtm into a list. |
term.statistics | Compute some useful corpus statistics for a dtm |
term.time.statistics | Compute corpus statistics for term use over time |
topics.per.document | Get the topics per document |
wikinews_iraq | Document-term matrix based on wikinews articles on Iraq |
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