#> Detecting a 'named list' input!
#> You chose NOT to SAVE INTERIM RESULTS, which will be stored as a list in console!
#> 1. Tokenising the "ind_mixed_2012_1M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_mixed_2012_1M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_news_2008_300K" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_news_2008_300K.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_news_2009_300K" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_news_2009_300K.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_news_2010_300K" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_news_2010_300K.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_news_2011_300K" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_news_2011_300K.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_news_2012_300K" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_news_2012_300K.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_newscrawl_2011_1M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_newscrawl_2011_1M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_newscrawl_2012_1M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_newscrawl_2012_1M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_newscrawl_2015_300K" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_newscrawl_2015_300K.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_newscrawl_2016_1M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_newscrawl_2016_1M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_web_2011_300K" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_web_2011_300K.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_web_2012_1M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_web_2012_1M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind_wikipedia_2016_1M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind_wikipedia_2016_1M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind-id_web_2013_1M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind-id_web_2013_1M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 1. Tokenising the "ind-id_web_2015_3M" corpus. This process may take a while!
#> 1.1 Removing one-character tokens...
#> 1.2 Lowercasing the tokenised corpus...
#> At least a match is detected for 'mengatakan' in ind-id_web_2015_3M.
#> 2.1 Gathering the collocates for 'mengatakan' ...
#> 3. Storing all of the outputs...
#>
#> DONE!
#> Your colloc_leipzig output is stored as list!
#> You chose to combine the collocational and frequency list data from ALL CORPORA!
#> Tallying frequency list of all words in ALL CORPORA!
#> You chose to remove stopwords!
am_fye <- collex_fye(df = assoc_tb, collstr_digit = 3)