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The examples module provides glue code implementation for extracting common phrases, key word distributions and more from tweets stored on HDFS/HBase. It builds on Mahout for more sophisticated analysis.

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/**
 * Copyright (C) 2010, 2011 Neofonie GmbH
 *
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package eu.dicodeproject.analysis.util;

import java.util.HashMap;
import java.util.Map;

/**
 * @author jakob
 */
public enum Language {
  GERMAN("de"),
  ENGLISH("en"),
  SPANISH("es"),
  FRENCH("fr"),
  INDONESIAN("id"),
  ITALIAN("it"),
  DUTCH("nl"),
  PORTUGUESE("pt"),
  RUSSIAN("ru"),
  TURKISH("tr");

  private String code;

  Language(String code) {
    this.code = code;
  }

  public String getCode() {
    return this.code;
  }

  public static Language fromCode(String code) {
    return lookup.get(code);
  }

  private static final Map lookup = new HashMap();
  static {
    for (Language d : Language.values())
      lookup.put(d.code, d);
  }

}