add note to try other tf normalization strategies.

[cdsc_reddit.git] / tfidf_authors.py

diff --git a/tfidf_authors.py b/tfidf_authors.py
deleted file mode 100644 (file)
index f06a8ce..0000000
--- a/tfidf_authors.py
+++ /dev/null
@@ -1,19 +0,0 @@
-from pyspark.sql import SparkSession
-from similarities_helper import build_tfidf_dataset
-
-## TODO:need to exclude automoderator / bot posts.
-## TODO:need to exclude better handle hyperlinks. 
-spark = SparkSession.builder.getOrCreate()
-
-df = spark.read.parquet("/gscratch/comdata/users/nathante/reddit_tfidf_test_authors.parquet_temp/part-00000-d61007de-9cbe-4970-857f-b9fd4b35b741-c000.snappy.parquet")
-
-include_subs = set(open("/gscratch/comdata/users/nathante/cdsc-reddit/top_25000_subs_by_comments.txt"))
-include_subs = {s.strip('\n') for s in include_subs}
-df = df.filter(df.author != '[deleted]')
-df = df.filter(df.author != 'AutoModerator')
-
-df = build_tfidf_dataset(df, include_subs, 'author')
-
-df.cache()
-
-df.write.parquet('/gscratch/comdata/users/nathante/subreddit_tfidf_authors.parquet',mode='overwrite',compression='snappy')