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aniruddha27/nlp_ie_33.py

Last active June 28, 2020 17:51
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nlp_ie_33.py
# create a df containing sentence and its output for modified rule 1
row_list = []
# df2 contains all the sentences from all the speeches
for i in range(len(df2)):
sent = df2.loc[i,'Sent']
year = df2.loc[i,'Year']
output = rule1_mod(sent)
dict1 = {'Year':year,'Sent':sent,'Output':output}
row_list.append(dict1)
df_rule1_mod_all = pd.DataFrame(row_list)
# check rule1 output on complete speeches
output_per(df_rule1_mod_all,'Output')
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