'Analysing words in dataset based on training data
I have a training dataset for eg.
Letter Word
A Apple
B Bat
C Cat
D Dog
E Elephant
and I need to check the dataframe such as AD Apple Dog AE Applet Elephant DC Dog Cow EB Elephant Bag
the instances AD,AE,EB are almost accurate (Apple and Applet are considered closer to each other, similar for Bat and Bag) but DC doesn't match.
Output Required:
Letters Words Status
AD Apple Dog Accept
AE Applet Elephant Accept
DC Dog Cow Reject
EB Elephant Bag Accept
How can I find these matches using Python.
Sources
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