niutyut

Thank you very much for your reply My dfm is associated with a dataframe because I want to read the docvars property in the dataframe. The code is as follows....

library(word2vec) x

thank you！ but new problem appears. v=terminology[10:11] > v [1] "桂" "姻" predict(model, newdata = v, type = "nearest") $桂 term1 term2 similarity rank 1 桂 重光 0.9973573 1 2...

below is all code: library(readr) library(word2vec) path="cookbooks1.txt" y=readr::read_lines(path) x

hello, code is below: v=terminology[which(terminology=="山")] predict(model, newdata = v, type = "nearest") $山 term1 term2 similarity rank 1 山 水 0.9285445 1 2 山 林 0.9080331 2 3 山 仙...

Do you have some papers on the use of the word2vec package? or instruction?I would like to know how this package is used in practice. Thank you.

your LDAvis can finish topic-term display,but i do not use it,because i want to exercise shiny package,your LDAtools use shiny package to display topic-term,very excitely!! how to get such as...