Module datarush.analytics

Package com.pervasive.datarush.analytics.text

Class TextTokenUtil

java.lang.Object

com.pervasive.datarush.analytics.text.TextTokenUtil

public class TextTokenUtil
extends Object

Utility methods for operating on TextContainer objects.

Constructor Summary

Constructors

Constructor	Description
TextTokenUtil()

Method Summary

Modifier and Type	Method	Description
static NGramMap	calcNGramFreq(TextContainer text, int n)	Creates an n-gram frequency model based on the contents of the TextContainer.
static NGramMap	calcNGramFreq(TextContainer text, int n, Set<NGram> nGramSet)	Creates an n-gram frequency model containing the specified set of terms based on the contents of the TextContainer.
static WordMap	calcWordFreq(TextContainer text)	Creates a term frequency model based on the contents of the TextContainer.
static WordMap	calcWordFreq(TextContainer text, Set<String> wordSet)	Creates a term frequency model containing the specified set of terms based on the contents of the TextContainer.
static int	countElementType(TextContainer text, TextElementType type)	Counts the number of elements of a specific type in the TextContainer.
static TextContainer	createTreeFromList(List<TextContainer> nodes)	Creates a TextContainer from a list of TextContainer nodes.
static TextContainer	createTreeFromString(String textTokens)
static Set<String>	genBagOfWords(TextContainer text)	Creates a bag of words based on the contents of the TextContainer.
static List<NGram>	generateNGramList(TextContainer text, int n)	Lists the unique n-grams contained in the TextContainer.
static List<String>	generateWordList(TextContainer text)	Lists the unique words contained in the TextContainer.
static <K,V extends Comparable<V>> List<Map.Entry<K,V>>	sortMapByValue(Map<K,V> map)	Sorts a map by the values associated with each key and returns a list of the entries that have been sorted.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

TextTokenUtil

public TextTokenUtil()

Method Detail

generateWordList

public static List<String> generateWordList(TextContainer text)

Lists the unique words contained in the TextContainer.

Parameters:

text - the container of tokenized text

Returns:

a list of unique word strings

generateNGramList

public static List<NGram> generateNGramList(TextContainer text,
                                            int n)

Lists the unique n-grams contained in the TextContainer.

Parameters:

text - the container of tokenized text

n - the degree of the n-grams

Returns:

a list of unique n-grams

countElementType

public static int countElementType(TextContainer text,
                                   TextElementType type)

Counts the number of elements of a specific type in the TextContainer.

Parameters:

text - the container of tokenized text

type - the type of text element to count

Returns:

the count of the specific text elements

genBagOfWords

public static Set<String> genBagOfWords(TextContainer text)

Creates a bag of words based on the contents of the TextContainer.

Parameters:

text - the container of tokenized text

Returns:

the bag of words

calcWordFreq

public static WordMap calcWordFreq(TextContainer text)

Creates a term frequency model based on the contents of the TextContainer.

Parameters:

text - the container of tokenized text

Returns:

the term frequency model

calcWordFreq

public static WordMap calcWordFreq(TextContainer text,
                                   Set<String> wordSet)

Creates a term frequency model containing the specified set of terms based on the contents of the TextContainer.

Parameters:

text - the container of tokenized text

wordSet - the set of terms to include in the model

Returns:

the term frequency model

calcNGramFreq

public static NGramMap calcNGramFreq(TextContainer text,
                                     int n)

Creates an n-gram frequency model based on the contents of the TextContainer.

Parameters:

text - the container of tokenized text

n - the degree of the n-grams

Returns:

the n-gram frequency model

calcNGramFreq

public static NGramMap calcNGramFreq(TextContainer text,
                                     int n,
                                     Set<NGram> nGramSet)

Creates an n-gram frequency model containing the specified set of terms based on the contents of the TextContainer.

Parameters:

text - the container of tokenized text

n - the degree of the n-grams

nGramSet - the set of n-grams to include in the model

Returns:

the n-gram frequency model

sortMapByValue

public static <K,V extends Comparable<V>> List<Map.Entry<K,V>> sortMapByValue(Map<K,V> map)

Sorts a map by the values associated with each key and returns a list of the entries that have been sorted.

Parameters:

map - the map of entries that will be sorted

Returns:

a list of the sorted map entries

createTreeFromList

public static TextContainer createTreeFromList(List<TextContainer> nodes)

Creates a TextContainer from a list of TextContainer nodes. The list must be a pre-order traversal of the original tree.

Parameters:

nodes - a list of TextContainers representing a pre-order traversal

Returns:

the tokenized text tree

createTreeFromString

public static TextContainer createTreeFromString(String textTokens)