I'm trying to extract some keywords from a text. It works quite fine but I need to remove plurals.
As I'm already using Lucene for searching purpose, I'm trying to use it to extract keyword from indexed terms.
1st, I index the document in a RAMDirectory index,
RAMDirectory idx = new RAMDirectory();
using (IndexWriter writer =
new IndexWriter(
idx,
new CustomStandardAnalyzer(StopWords.Get(this.Language),
Lucene.Net.Util.Version.LUCENE_30, this.Language),
IndexWriter.MaxFieldLength.LIMITED))
{
writer.AddDocument(createDocument(this._text));
writer.Optimize();
}
Then, I extract the keywords:
var list = new List<KeyValuePair<int, string>>();
using (var reader = IndexReader.Open(directory, true))
{
var tv = reader.GetTermFreqVector(0, "text");
if (tv != null)
{
string[] terms = tv.GetTerms();
int[] freq = tv.GetTermFrequencies();
for (int i = 0; i < terms.Length; i++)
list.Add(new KeyValuePair<int, string>(freq[i], terms[i]));
}
}
in the list of terms I can have terms like "president" and "presidents"
How could I remove it?
My CustomStandardAnalyzer use this:
public override TokenStream TokenStream(string fieldName, System.IO.TextReader reader)
{
//create the tokenizer
TokenStream result = new StandardTokenizer(this.version, reader);
//add in filters
result = new Lucene.Net.Analysis.Snowball.SnowballFilter(result, this.getStemmer());
result = new LowerCaseFilter(result);
result = new ASCIIFoldingFilter(result);
result = new StopFilter(true, result, this.stopWords ?? StopWords.English);
return result;
}
So I already use the SnowballFilter (with the correct language specific stemmer). How could I remove plurals?
My output from the following program is:
text:and
text:presid
text:some
text:text
text:with
class Program
{
private class CustomStandardAnalyzer : Analyzer
{
public override TokenStream TokenStream(string fieldName, System.IO.TextReader reader)
{
//create the tokenizer
TokenStream result = new StandardTokenizer(Lucene.Net.Util.Version.LUCENE_30, reader);
//add in filters
result = new Lucene.Net.Analysis.Snowball.SnowballFilter(result, new EnglishStemmer());
result = new LowerCaseFilter(result);
result = new ASCIIFoldingFilter(result);
result = new StopFilter(true, result, new HashSet<string>());
return result;
}
}
private static Document createDocument(string text)
{
Document d = new Document();
Field f = new Field("text", "", Field.Store.YES, Field.Index.ANALYZED, Field.TermVector.WITH_POSITIONS_OFFSETS);
f.SetValue(text);
d.Add(f);
return d;
}
static void Main(string[] args)
{
RAMDirectory idx = new RAMDirectory();
using (IndexWriter writer =
new IndexWriter(
idx,
new CustomStandardAnalyzer(),
IndexWriter.MaxFieldLength.LIMITED))
{
writer.AddDocument(createDocument("some text with president and presidents"));
writer.Commit();
}
using (var reader = IndexReader.Open(idx, true))
{
var terms = reader.Terms(new Term("text", ""));
if (terms.Term != null)
do
Console.WriteLine(terms.Term);
while (terms.Next());
}
Console.ReadLine();
}
}