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    <p>If you're not implementing this for academic reasons you should consider using the <a href="http://lucene.apache.org/java/docs/index.html" rel="noreferrer">Lucene</a> library. In either case it might be good for reference. It has classes for tokenization, stop word filtering, stemming and similarity. Here's a quick example using Lucene 3.0 to remove stop words and stem an input string:</p> <pre><code>public static String removeStopWordsAndStem(String input) throws IOException { Set&lt;String&gt; stopWords = new HashSet&lt;String&gt;(); stopWords.add("a"); stopWords.add("I"); stopWords.add("the"); TokenStream tokenStream = new StandardTokenizer( Version.LUCENE_30, new StringReader(input)); tokenStream = new StopFilter(true, tokenStream, stopWords); tokenStream = new PorterStemFilter(tokenStream); StringBuilder sb = new StringBuilder(); TermAttribute termAttr = tokenStream.getAttribute(TermAttribute.class); while (tokenStream.incrementToken()) { if (sb.length() &gt; 0) { sb.append(" "); } sb.append(termAttr.term()); } return sb.toString(); } </code></pre> <p>Which if used on your strings like this:</p> <pre><code>public static void main(String[] args) throws IOException { String one = "I decided buy something from the shop."; String two = "Nevertheless I decidedly bought something from a shop."; System.out.println(removeStopWordsAndStem(one)); System.out.println(removeStopWordsAndStem(two)); } </code></pre> <p>Yields this output:</p> <pre><code>decid bui someth from shop Nevertheless decidedli bought someth from shop </code></pre>
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    1. COahh I think lucene is a nono since it is a school related project.
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