If condition in pandas dataframe and matiching two columns and updating a new column based on condition [duplicate]

I am trying to write a condition check for tagging Technical terms. I have used a dictionary to look up to and do a fuzzy match. My dataframe is something like this-

   Word      Entity     Score   Tag     technology  similarity
Stonetrust      CRR     0.90     MISC    xxx         90
Wilkes          CRR     0.80     ORG     xxx         60
linux           xxx     0.70     LOC     xxx         70
SILVER  INC     xxx     0.88     PER     xxx         80
PO BOX 988      xxx     0.99    MISC     xxx         70
LA 70520        xxx     0.67     PER     xxx         50
02/12/2019      xxx     0.23     MISC    xxx         100

I need to check for below condition and create a new column with final tags-

1. if similarity score = 100 then final_tag = TECH
2. if Tag = MISC and similarity score >=95 then final_tag = TECH

To do this I did wrote below code

df['new column name'] = df['column name'].apply(lambda x: 'value if condition is met' if x condition else 'value if condition is not met')
df1['Final_NER'] = df1['similarity'].apply(lambda x: 'TECH' if x == 100 else df1['NER_Tag'])
df1['Final_NER'] = df1['similarity'].apply(lambda x: 'Tech' if df1['NER_Tag'] == MISC and if x >= 95 else df1['NER_Tag'])

I am not getting correct output and getting below error-

AttributeError: 'builtin_function_or_method' object has no attribute 'get_indexer'