--add_ngrams [-n N [N2...] ]
Extract ngrams (words and phrases) from a message table
Argument and Default Value¶
by default (i.e. if -n isn’t present), N is set to 1.
This switch tokenizes the given message table into N-grams and then aggregates them over each group_id. A n-gram is either a single word or token (n=1; e.g. “hello”, “:)”, “youtube.com”) or a phrase (n>1; e.g. “happy birthday”, “changes saved”). Once all of a group’s messages are split into n-grams , the n-grams are counted (i.e. summed) (both raw count and relative frequency over that group_id) and inserted into a feature table that will be named something like “feat$ngram$message_table$group_id$16to16” (where the italicized items are determined by your command setup) Note that the n-grams are all lowercased.
By default spaces are shrunk and newlines ('n') are replaced by '<newline>'.
The feature table will have the following columns (at least):
- group_id whatever values that the message table has in the -g column (is an index)
- feat ngrams (utf8mb4 encoded usually; also an index)
- value raw count of how many times the ngram appears in the group
- group_norm normalized frequency of ngram in group
Creates 1gram features and save in feat$1gram$msgs$user_id$16to16.
dlatkInterface.py -d dla_tutorial -t msgs -c user_id --add_ngrams
This command will create tables for 1grams (feat$1gram$msgs$user_id$16to16) and 2grams (feat$2gram$msgs$user_id$16to16) and then a third table which contains 1-2grams (feat$1to2gram$msgs$user_id$16to16).
dlatkInterface.py -d dla_tutorial -t msgs -c user_id --add_ngrams -n 1 2 --combine_feat_tables 1to2gram