# NOT RUN {
dfmat <- quanteda::dfm(data_corpus_irishbudget2010)
# create an LSA space and return its truncated representation in the low-rank space
tmod <- textmodel_lsa(dfmat[1:10, ])
head(tmod$docs)
# matrix in low_rank LSA space
tmod$matrix_low_rank[,1:5]
# fold queries into the space generated by dfmat[1:10,]
# and return its truncated versions of its representation in the new low-rank space
pred <- predict(tmod, newdata = dfmat[11:14, ])
pred$docs_newspace
# }
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