--topic_tagcloud

Switch

--topic_tagcloud

Description

Produces data for making topic Wordles. You must use a topic-based feature table. For a NON topic-based word cloud see --tagcloud.

Argument and Default Value

No argument. Boolean switch, default: False.

Other Switches

Required Switches:

• -f FEAT_TABLE (must be topic based)

• --topic_lexicon

• --outcome_table, --outcomes

Optional Switches:

• --make_topic_wordclouds

• --tagcloud_filter / --no_tagcloud_filter

Example Commands

Using the packaged dla_tutorial dataset (see Differential Language Analysis (DLA) Tutorial): correlates Facebook topics with age and gender, controlling for whether the user is a student, then renders topic word clouds.

dlatkInterface.py -d dla_tutorial -t msgs -c user_id \
-f 'feat$cat_met_a30_2000_cp_w$msgs$user_id$16to16' --outcome_table blog_outcomes \
--outcomes age gender \
--topic_tagcloud --make_topic_wordclouds --topic_lexicon met_a30_2000_freq_t50ll --no_correction \
--output_name ./dla_tutorial_output --outcome_controls is_student \
--tagcloud_colorscheme blue --group_freq_thresh 500