global strongly_subj_list
OpinionExtractor.add_opinion_column(df, strongly_subj_list)
def create_vulgar_column(df):
global wordlist
dftext = df[['text']]
result = dftext.applymap(
lambda x: VulgarExtractor.containsVulgar(x, wordlist))
df['isVulgar'] = result
if __name__ == "__main__":
# exec(open('FileReader.py').read())
full_df_list = FileReader.get_dataframe()
#load strongly subjective list
strongly_subj_list = OpinionExtractor.initialize_subjectivity()
#load vulgar words list
wordlist = VulgarExtractor.vulgarWords(
"./feature-extraction/vulgar-extractor/badwords.txt")
#this loop will generate all features
for df in full_df_list:
create_opinion_column(df)
create_vulgar_column(df)
train_df = full_df_list[0]
dev_df = full_df_list[1]
