I want to compare two addresses for their similarity (purely similarity in terms of textual occurrences rather than semantic similarity). I have a labelled dataset having Address1, Address2 and Similar, where Similar takes a value of 0 (not similar) or 1 (similar). Now, how would I convert the text in Address1 and Address2 into numerical vectors, so as to treat this as a binary classification problem?
How to create vectors from text for address matching using binary classification?
classification;text mining;similarity;feature engineering