org.deeplearning4j.text.movingwindow.Windows Maven / Gradle / Ivy
/*
*
* * Copyright 2015 Skymind,Inc.
* *
* * Licensed under 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 org.deeplearning4j.text.movingwindow;
import java.io.InputStream;
import java.util.ArrayList;
import java.util.List;
import java.util.StringTokenizer;
import org.deeplearning4j.berkeley.StringUtils;
import org.deeplearning4j.text.tokenization.tokenizer.DefaultStreamTokenizer;
import org.deeplearning4j.text.tokenization.tokenizer.Tokenizer;
import org.deeplearning4j.text.tokenization.tokenizerfactory.TokenizerFactory;
/**
* Static utility class for textual based windowing cooccurrences
* @author Adam Gibson
*/
public class Windows {
/**
* Constructs a list of window of size windowSize.
* Note that padding for each window is created as well.
* @param words the words to tokenize and construct windows from
* @param windowSize the window size to generate
* @return the list of windows for the tokenized string
*/
public static List windows(InputStream words,int windowSize) {
Tokenizer tokenizer = new DefaultStreamTokenizer(words);
List list = new ArrayList<>();
while(tokenizer.hasMoreTokens())
list.add(tokenizer.nextToken());
return windows(list,windowSize);
}
/**
* Constructs a list of window of size windowSize.
* Note that padding for each window is created as well.
* @param words the words to tokenize and construct windows from
* @param tokenizerFactory tokenizer factory to use
* @param windowSize the window size to generate
* @return the list of windows for the tokenized string
*/
public static List windows(InputStream words,TokenizerFactory tokenizerFactory,int windowSize) {
Tokenizer tokenizer = tokenizerFactory.create(words);
List list = new ArrayList<>();
while(tokenizer.hasMoreTokens())
list.add(tokenizer.nextToken());
if(list.isEmpty())
throw new IllegalStateException("No tokens found for windows");
return windows(list,windowSize);
}
/**
* Constructs a list of window of size windowSize.
* Note that padding for each window is created as well.
* @param words the words to tokenize and construct windows from
* @param windowSize the window size to generate
* @return the list of windows for the tokenized string
*/
public static List windows(String words,int windowSize) {
StringTokenizer tokenizer = new StringTokenizer(words);
List list = new ArrayList();
while(tokenizer.hasMoreTokens())
list.add(tokenizer.nextToken());
return windows(list,windowSize);
}
/**
* Constructs a list of window of size windowSize.
* Note that padding for each window is created as well.
* @param words the words to tokenize and construct windows from
* @param tokenizerFactory tokenizer factory to use
* @param windowSize the window size to generate
* @return the list of windows for the tokenized string
*/
public static List windows(String words,TokenizerFactory tokenizerFactory,int windowSize) {
Tokenizer tokenizer = tokenizerFactory.create(words);
List list = new ArrayList<>();
while(tokenizer.hasMoreTokens())
list.add(tokenizer.nextToken());
if(list.isEmpty())
throw new IllegalStateException("No tokens found for windows");
return windows(list,windowSize);
}
/**
* Constructs a list of window of size windowSize.
* Note that padding for each window is created as well.
* @param words the words to tokenize and construct windows from
* @return the list of windows for the tokenized string
*/
public static List windows(String words) {
StringTokenizer tokenizer = new StringTokenizer(words);
List list = new ArrayList();
while(tokenizer.hasMoreTokens())
list.add(tokenizer.nextToken());
return windows(list,5);
}
/**
* Constructs a list of window of size windowSize.
* Note that padding for each window is created as well.
* @param words the words to tokenize and construct windows from
* @param tokenizerFactory tokenizer factory to use
* @return the list of windows for the tokenized string
*/
public static List windows(String words,TokenizerFactory tokenizerFactory) {
Tokenizer tokenizer = tokenizerFactory.create(words);
List list = new ArrayList<>();
while(tokenizer.hasMoreTokens())
list.add(tokenizer.nextToken());
return windows(list,5);
}
/**
* Creates a sliding window from text
* @param windowSize the window size to use
* @param wordPos the position of the word to center
* @param sentence the sentence to createComplex a window for
* @return a window based on the given sentence
*/
public static Window windowForWordInPosition(int windowSize,int wordPos,List sentence) {
List window = new ArrayList<>();
List onlyTokens = new ArrayList<>();
int contextSize = (int) Math.floor((windowSize - 1 ) / 2);
for (int i = wordPos - contextSize; i <= wordPos + contextSize;i++){
if(i < 0)
window.add("");
else if(i >= sentence.size())
window.add("");
else {
onlyTokens.add(sentence.get(i));
window.add(sentence.get(i));
}
}
String wholeSentence = StringUtils.join(sentence);
String window2 = StringUtils.join(onlyTokens);
int begin = wholeSentence.indexOf(window2);
int end = begin + window2.length();
return new Window(window, windowSize, begin,end);
}
/**
* Constructs a list of window of size windowSize
* @param words the words to construct windows from
* @return the list of windows for the tokenized string
*/
public static List windows(List words,int windowSize) {
List ret = new ArrayList<>();
for(int i = 0; i < words.size(); i++)
ret.add(windowForWordInPosition(windowSize,i,words));
return ret;
}
}