def get_all_values_jan_4():
"""Defines all parameters for the entire experiment"""
subreddits = ["mcgill"]
year = 2016
start_month = 1
end_month = 2
ngrams = 4
text_min = 10 # TODO: make sure this is being used in all the right places
text_max = 1000
# TODO: are these truly the values that you want?
# values that define if you restrict value calculation to just a certain
# subreddit
prior_interaction_subreddit = None
user_prolificness_subreddit = None
user_karma_subreddit = None
relevant_categories = [] # TODO: fill this out
base_path = "/home/ndg/projects/shared_datasets/reddit-style/"
out_file = "/home/ndg/projects/shared_datasets/reddit-style/data/get_all_values_jan_4.csv"
get_features.write_to_csv(subreddits, year, start_month, end_month, ngrams, text_min,
text_max, base_path, relevant_categories, out_file,
user_prolificness_subreddit, user_karma_subreddit,
prior_interaction_subreddit)
def test_dask_large():
"""Defines all parameters for the entire experiment"""
with open("../data/large_subs.txt") as f:
content = f.readlines()
content = [x.strip() for x in content]
# subreddits = content[:3]
partitioned_subreddits = partition(content, 10)
year = 2016
start_month_pairs = 4
end_month_pairs = 4
num_months_back = 1
ngrams = 5
text_min = 5 # TODO: make sure this is being used in all the right places
text_max = 10000
num_pairs_cap = 5000
num_pairs_min = 100
# TODO: are these truly the values that you want?
# values that define if you restrict value calculation to just a certain
# subreddit
restrict_to_subreddit_only = False
relevant_categories = ["ppron", "i", "we", "you", "shehe", "they" "ipron",
"article", "prep", "auxverb",
"conj", "negate", "verb", "adj", "compare",
"interrog", "number", "quant", "posemo", "negemo",
"anx", "anger", "sad"]
base_path = "/home/ndg/projects/shared_datasets/reddit-style/"
for i in range(len(partitioned_subreddits)):
subreddits = partitioned_subreddits[i]
print subreddits
out_file = "/home/ndg/projects/shared_datasets/reddit-style" \
"/output_data/TESTDASKlarge_subs_{}_get_all_values_jan_27_{}_{" \
"}_{" \
"}_{}_{}_{}.csv".format(i,
year, start_month_pairs,
end_month_pairs -
num_months_back,
ngrams,
text_min, text_max)
get_features.write_to_csv(subreddits, year, start_month_pairs,
end_month_pairs, ngrams, text_min,
text_max, base_path, relevant_categories,
out_file, restrict_to_subreddit_only,
num_pairs_cap, num_pairs_min,
num_months_back)
def get_all_values_jan_22():
"""Defines all parameters for the entire experiment"""
with open("../data/large_subs.txt") as f:
content = f.readlines()
content = [x.strip() for x in content]
subreddits = content[:100]
year = 2016
start_month_pairs = 4
end_month_pairs = 4
start_month_metadata = 1
end_month_metadata = 4
ngrams = 5
text_min = 0 # TODO: make sure this is being used in all the right places
text_max = 10000
num_pairs_cap = 10000
num_pairs_min = 1000
# TODO: are these truly the values that you want?
# values that define if you restrict value calculation to just a certain
# subreddit
restrict_to_subreddit_only = False
relevant_categories = ["ppron", "i", "we", "you", "shehe", "they" "ipron",
"article", "prep", "auxverb",
"conj", "negate", "verb", "adj", "compare",
"interrog", "number", "quant", "posemo", "negemo",
"anx", "anger", "sad"]
base_path = "/home/ndg/projects/shared_datasets/reddit-style/"
out_file = "/home/ndg/projects/shared_datasets/reddit-style/output_data/large_subs_get_all_values_jan_23_{}_{}_{}_{}_{}_{}.csv".format(year, start_month_pairs, end_month_pairs, ngrams, text_min, text_max)
# language_model.create_subreddit_language_models(subreddits, year,
# start_month_pairs, end_month_pairs,
# ngrams, text_min, text_max,
# base_path)
get_features.write_to_csv(subreddits, year, start_month_pairs, end_month_pairs, start_month_metadata, end_month_metadata, ngrams, text_min,
text_max, base_path, relevant_categories, out_file, restrict_to_subreddit_only, num_pairs_cap, num_pairs_min)
