PySpark script files for searching json Twitter stream data. Primarily for finding the context of a particular emoji/character.

Searches Twitter archive data (from archive.org) to find the characters which occur before and after a chosen target within a certain window. This is useful for analyzing how emoji are used in context and how they are combined. For more information see the original non-Spark version here.

Uses Spark for parallelized read of large Twitter datasets.

Edit setup-submit.sh to change the Spark job. Arguments to the full_search_spark.py job are:

• data_path : Path to the Twitter archive
• emoji_match : Name of emoji to match
• window : Window size for adjacency
• top : Number of top characters to output/display
• verbose : Print info messages