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Measuring the similarity between words, sentences,paragraphs and documents is an important component in various tasks such as information retrieval, document clustering, word-sense disambiguation, automatic essay
Measuring the similarity between words, sentences,paragraphs and documents is an important component in various tasks such as information retrieval, document clustering, word-sense disambiguation, automatic essay scoring, short answer grading, machine translation and text summarization. Many algorithms exists to perform similarity checking. However, you will perform simple similarity checking for this problem. Create a program named Similarity.java and implement the method described below: public static double similarity(String s1, String s2) The similarity is defined as below: let n1 = the number of unique words in s1 n2 = the unumber of unique words in s2 m = the number of unique words in both s1 and s2 then similarity = max(m/n1, m/n2) For example, similarity("I love java.", "Java Programming Java Programming") should return 0.5. Because there is only one word: "java" (m) in both arguments, and n1=3 (I, love, Java), n2=2 (Java, Programming). Then use the following code to test your method: System.out.println(similarity(args[0], args[1]));
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