com.gilt.nlp

OpenNlpExtractor

class OpenNlpExtractor extends Extractor with Loggable

This class is known to be not threadsafe.

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Loggable, Extractor, AnyRef, Any
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Instance Constructors

  1. new OpenNlpExtractor(stopWords: Set[String] = scala.this.Predef.Set.empty[String], phraseEndStopWords: Set[String] = scala.this.Predef.Set.empty[String], postfixesToStrip: Set[String] = ..., distanceThreshold: Int = 4)

Value Members

  1. final def !=(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  7. def chunkerModel: ChunkerModel

    Attributes
    protected

  8. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  9. def debug(message: ⇒ String, ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  10. def debug(message: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  11. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  13. def error(message: ⇒ String, ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  14. def error(message: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  15. def error(ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  16. def extractCountedNounPhrases(body: String): Iterable[(String, Int)]

    Extract noun phrases and their counts from a given body of text.

    Extract noun phrases and their counts from a given body of text.

    body
    returns

    Definition Classes
    OpenNlpExtractor → Extractor

  17. def extractInterestingPhrases(body: String, allowSkipPhrases: Boolean = true): Iterable[String]

    Inspired by http://dragon.ischool.drexel.edu/xtract.asp

    Inspired by http://dragon.ischool.drexel.edu/xtract.asp

    Using POS tags as described here

    This function implements something akin to the xTract description, by doing the following:

    $ - Sentence detection (to only pull phrases from individual sentences) $ - POS ("Part of Speech") Tagging, to allow processing only certain parts of speech (Nouns, etc.) $ - "Chunking" - to restrict phrase extraction to appropriate sub-sentence structures $ - Filtering chunks to "noun phrases" only $ - Extraction of words based on some simple rules on POS: $ - First word can be either Noun or Adjective $ - Select other Adjectives/Nouns within a threshold of the "first word" $ - From this selection, prepare n-grams such that the last word of N-Gram must be a Noun.

    Definition Classes
    OpenNlpExtractor → Extractor

  18. def fatal(message: ⇒ String, ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  19. def fatal(message: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  20. def fatal(ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  21. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  22. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  23. def hashCode(): Int

    Definition Classes
    AnyRef → Any

  24. def info(message: ⇒ String, ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  25. def info(message: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  26. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  27. def isStop(word: String): Boolean

    Attributes
    protected

  28. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  29. final def notify(): Unit

    Definition Classes
    AnyRef

  30. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  31. def posModel: POSModel

    Attributes
    protected

  32. def scrub(str: String): String

    str
    returns

    Attributes
    protected

  33. def sentenceModel: SentenceModel

    Attributes
    protected

  34. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef

  35. def toString(): String

    Definition Classes
    AnyRef → Any

  36. def tokenizerModel: TokenizerModel

    Attributes
    protected

  37. def trace(message: ⇒ String, ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  38. def trace(message: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  39. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  40. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  41. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  42. def warn(message: ⇒ String, ex: Throwable): Unit

    Attributes
    protected
    Definition Classes
    Loggable

  43. def warn(message: ⇒ String): Unit

    Attributes
    protected
    Definition Classes
    Loggable

Inherited from Loggable

Inherited from Extractor

Inherited from AnyRef

Inherited from Any

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