Python script to read the twitter analytics export, in CSV format, and identify the top concepts associated with particular outcomes like retweets or follows.
Reads the twitter analytic output, in CSV format, and finds the top words and phrases associated with specific outcomes
python tweetalyzer.py [-m OBS] [-g GRAMS] [-sw] file targets
-m minimum number of observations to report
-g maximum number of n-grams to analyze
-s strip special characters before analyzing
-w remove stopwords before analyzing
file the full path to the twitter analytic export file in CSV format
targets list of row names that designate an outcome of interest when > 0
This python script reads one or more outputs from the tweetalyzer, in CSV format, and transforms them into a unified time series for trend analysis.
python datify-tweetalyzer.py filespec
filespec: path to one or more tweetalyzer output files in csv format