def model_parsing():
Parse_df=model_df.fillna('mv-5')
for index, row_k in enumerate(Parse_df['Keywords']):
row_k=parse_and.parse(str(row_k))
Parse_df.Keywords[index] = row_k
for index, row_k in enumerate(Parse_df['Keywords_and_1']):
row_k=parse_and.parse(str(row_k))
Parse_df.Keywords_and_1[index] = row_k
for index, row_k in enumerate(Parse_df['Keywords_and_2']):
row_k=parse_and.parse(str(row_k))
Parse_df.Keywords_and_2[index] = row_k
for index, row_e in enumerate(Parse_df['Exclusion']):
row_e=parse_and.parse(str(row_e))
Parse_df.Exclusion[index] = row_e
for index, row_e in enumerate(Parse_df['Attribute_Or_keyword']):
row_e=parse_and.parse(str(row_e))
Parse_df.Attribute_Or_keyword[index] = row_e
for index, row_e in enumerate(Parse_df['Attribute_And_keyword']):
row_e=parse_and.parse(str(row_e))
Parse_df.Attribute_And_keyword[index] = row_e
for index, row_e in enumerate(Parse_df['Verbatim_exclusion']):
row_e=parse_and.parse(str(row_e))
Parse_df.Verbatim_exclusion[index] = row_e
Parse_df.to_csv('Model_modified_twitter_test.csv',index=False)
def model_parsing():
model_df=pd.read_csv('Text_Model_twitter_v1.csv')
model_df=model_df.fillna('mv-5')
for index, row_k in enumerate(model_df['Keywords']):
row_k=parse_and.parse(str(row_k))
model_df.Keywords[index] = row_k
for index, row_k in enumerate(model_df['Keywords_and_1']):
row_k=parse_and.parse(str(row_k))
model_df.Keywords_and_1[index] = row_k
for index, row_k in enumerate(model_df['Keywords_and_2']):
row_k=parse_and.parse(str(row_k))
model_df.Keywords_and_2[index] = row_k
for index, row_e in enumerate(model_df['Exclusion']):
row_e=parse_and.parse(str(row_e))
model_df.Exclusion[index] = row_e
for index, row_e in enumerate(model_df['Attribute_Or_keyword']):
row_e=parse_and.parse(str(row_e))
model_df.Attribute_Or_keyword[index] = row_e
for index, row_e in enumerate(model_df['Attribute_And_keyword']):
row_e=parse_and.parse(str(row_e))
model_df.Attribute_And_keyword[index] = row_e
model_df.to_csv('Model_modified_twitter_test.csv',index=False)
