]> code.communitydata.science - cdsc_reddit.git/commitdiff
Merge branch 'master' of code:cdsc_reddit
authorNate E TeBlunthuis <nathante@n2232.hyak.local>
Wed, 28 Jul 2021 22:32:21 +0000 (15:32 -0700)
committerNate E TeBlunthuis <nathante@n2232.hyak.local>
Wed, 28 Jul 2021 22:32:21 +0000 (15:32 -0700)
similarities/cosine_similarities.py
similarities/similarities_helper.py
similarities/tfidf.py

index 38b1d7c7c1643ac4c64cd85153cbda4bc9c3eec1..cc681b130c9a47aad89aef628defcbac5258842b 100644 (file)
@@ -8,9 +8,9 @@ def cosine_similarities(infile, term_colname, outfile, min_df=None, max_df=None,
     return similarities(infile=infile, simfunc=column_similarities, term_colname=term_colname, outfile=outfile, min_df=min_df, max_df=max_df, included_subreddits=included_subreddits, topN=topN, exclude_phrases=exclude_phrases,from_date=from_date, to_date=to_date, tfidf_colname=tfidf_colname)
 
 
-def term_cosine_similarities(outfile, min_df=None, max_df=None, included_subreddits=None, topN=500, exclude_phrases=False, from_date=None, to_date=None):
+def term_cosine_similarities(outfile, infile='/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms_100k.parquet', min_df=None, max_df=None, included_subreddits=None, topN=500, exclude_phrases=False, from_date=None, to_date=None):
 
-    return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms_100k.parquet',
+    return cosine_similarities(infile,
                                'term',
                                outfile,
                                min_df,
@@ -22,8 +22,8 @@ def term_cosine_similarities(outfile, min_df=None, max_df=None, included_subredd
                                to_date
                                )
 
-def author_cosine_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
-    return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
+def author_cosine_similarities(outfile, infile='/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet', min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
+    return cosine_similarities(infile,
                                'author',
                                outfile,
                                min_df,
@@ -35,8 +35,8 @@ def author_cosine_similarities(outfile, min_df=2, max_df=None, included_subreddi
                                to_date=to_date
                                )
 
-def author_tf_similarities(outfile, min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
-    return cosine_similarities('/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet',
+def author_tf_similarities(outfile, infile='/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors_100k.parquet', min_df=2, max_df=None, included_subreddits=None, topN=10000, from_date=None, to_date=None):
+    return cosine_similarities(infile,
                                'author',
                                outfile,
                                min_df,
index 57a36ca924ea5d0d991e976347cac0362b97ac20..3ace8f29f3922838009adfb4dccf77e5f03b1e34 100644 (file)
@@ -60,7 +60,7 @@ def reindex_tfidf(infile, term_colname, min_df=None, max_df=None, included_subre
     if included_subreddits is None:
         included_subreddits = select_topN_subreddits(topN)
     else:
-        included_subreddits = set(open(included_subreddits))
+        included_subreddits = set(map(str.strip,map(str.lower,open(included_subreddits))))
 
     if exclude_phrases == True:
         tfidf = tfidf.filter(~f.col(term_colname).contains("_"))
index 30033a829dc1e563b1267f817d92378414f0c9d1..7f579faabb7092dacfb210f913f7b243d4c79337 100644 (file)
@@ -11,7 +11,7 @@ def _tfidf_wrapper(func, inpath, outpath, topN, term_colname, exclude, included_
     df = df.filter(~ f.col(term_colname).isin(exclude))
 
     if included_subreddits is not None:
-        include_subs = list(open(included_subreddits))
+        include_subs = set(map(str.strip,map(str.lower, open(included_subreddits))))
     else:
         include_subs = select_topN_subreddits(topN)
 
@@ -28,40 +28,44 @@ def tfidf_weekly(inpath, outpath, topN, term_colname, exclude, included_subreddi
     return _tfidf_wrapper(build_weekly_tfidf_dataset, inpath, outpath, topN, term_colname, exclude, included_subreddits)
 
 def tfidf_authors(outpath='/gscratch/comdata/output/reddit_similarity/tfidf/comment_authors.parquet',
-                  topN=25000):
+                  topN=25000,
+                  included_subreddits=None):
 
     return tfidf("/gscratch/comdata/output/reddit_ngrams/comment_authors.parquet",
                  outpath,
                  topN,
                  'author',
                  ['[deleted]','AutoModerator'],
-                 included_subreddits=None
+                 included_subreddits=included_subreddits
                  )
 
 def tfidf_terms(outpath='/gscratch/comdata/output/reddit_similarity/tfidf/comment_terms.parquet',
-                topN=25000):
+                topN=25000,
+                included_subreddits=None):
 
     return tfidf("/gscratch/comdata/output/reddit_ngrams/comment_terms.parquet",
                  outpath,
                  topN,
                  'term',
                  [],
-                 included_subreddits=None
+                 included_subreddits=included_subreddits
                  )
 
 def tfidf_authors_weekly(outpath='/gscratch/comdata/output/reddit_similarity/tfidf_weekly/comment_authors.parquet',
-                         topN=25000):
+                         topN=25000,
+                         included_subreddits=None):
 
     return tfidf_weekly("/gscratch/comdata/output/reddit_ngrams/comment_authors.parquet",
                         outpath,
                         topN,
                         'author',
                         ['[deleted]','AutoModerator'],
-                        included_subreddits=None
+                        included_subreddits=included_subreddits
                         )
 
 def tfidf_terms_weekly(outpath='/gscratch/comdata/output/reddit_similarity/tfidf_weekly/comment_terms.parquet',
-                       topN=25000):
+                       topN=25000,
+                       included_subreddits=None):
 
 
     return tfidf_weekly("/gscratch/comdata/output/reddit_ngrams/comment_terms.parquet",
@@ -69,7 +73,7 @@ def tfidf_terms_weekly(outpath='/gscratch/comdata/output/reddit_similarity/tfidf
                         topN,
                         'term',
                         [],
-                        included_subreddits=None
+                        included_subreddits=included_subreddits
                         )
 
 

Community Data Science Collective || Want to submit a patch?