java-data-text

Package provides java implementation of various text preprocessing methods such as tokenizers, vocabulary, text filter, stemmer, and so on

Install

Add the following dependency to your POM file:

<dependency>
  <groupId>com.github.chen0040</groupId>
  <artifactId>java-data-text</artifactId>
  <version>1.0.3</version>
</dependency>

Features

• Porter Stemmer

• Punctuation Filter

• Stop Word Removal

  • Xml Tag Removal
  • Ip Address Removal
  • Number Removal

• English Tokenizer

Usage

To use any text filter, just create a new text filter and then calls its filter(...) method.

Porter Stemmer

import com.github.chen0040.data.text.TextFilter;
import com.github.chen0040.data.text.PorterStemmer;

TextFilter stemmer = new PorterStemmer();
List<String> words = Arrays.asList(
        "caresses",
        "ponies",
        "ties",
        "caress",
        "cats",
        "feed",
        "agreed",
        "disabled",
        "matting",
        "mating",
        "meeting",
        "milling",
        "messing",
        "meetings"
);

List<String> result = stemmer.filter(words);
for (int i = 0; i < words.size(); ++i)
{
    System.out.println(String.format("%s -> %s", words.get(i), result.get(i)));
}

StopWord Removal

import com.github.chen0040.data.text.TextFilter;
import com.github.chen0040.data.text.StopWordRemoval;

StopWordRemoval filter = new StopWordRemoval();

filter.setRemoveNumbers(false);
filter.setRemoveIpAddress(false);
filter.setRemoveXmlTag(false);

InputStream inputStream = FileUtils.getResource("documents.txt");
BufferedReader reader = new BufferedReader(new InputStreamReader(inputStream));
String content = reader.lines().collect(Collectors.joining("\n"));
reader.close();

List<String> before = BasicTokenizer.doTokenize(content);
List<String> after = filter.filter(before);

Punctuation Filtering

import com.github.chen0040.data.text.TextFilter;
import com.github.chen0040.data.text.PunctuationFilter;

TextFilter filter = new PunctuationFilter();

InputStream inputStream = FileUtils.getResource("documents.txt");
BufferedReader reader = new BufferedReader(new InputStreamReader(inputStream));
String content = reader.lines().collect(Collectors.joining("\n"));
reader.close();

List<String> before = BasicTokenizer.doTokenize(content);
List<String> after = filter.filter(before);