TwitterKoreanProcessor

Value Members

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

   

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2. final def ##(): Int

   

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

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def extractPhrases(tokens: Seq[KoreanToken], filterSpam: Boolean = false, enableHashtags: Boolean = true): Seq[KoreanPhrase]

   

   Extract noun-phrases from Korean text

   Extract noun-phrases from Korean text

   tokens

   Korean tokens

   filterSpam

   true if spam/slang terms to be filtered out (default: false)

   enableHashtags

   true if #hashtags to be included (default: true)

   returns

   A sequence of extracted phrases

9. def finalize(): Unit

   

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

    

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11. def hashCode(): Int

    

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12. final def isInstanceOf[T0]: Boolean

    

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

    

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14. def normalize(text: CharSequence): CharSequence

    

    Normalize Korean text.

    Normalize Korean text. Uses KoreanNormalizer.normalize().

    text

    Input text

    returns

    Normalized Korean text

15. final def notify(): Unit

    

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16. final def notifyAll(): Unit

    

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17. def splitSentences(text: CharSequence): Seq[Sentence]

    

    Split input text into sentences.

    Split input text into sentences.

    text

    input text

    returns

    A sequence of sentences.

18. def stem(tokens: Seq[KoreanToken]): Seq[KoreanToken]

    

    Wrapper for Korean stemmer

    Wrapper for Korean stemmer

    tokens

    Korean tokens

    returns

    A sequence of stemmed tokens

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

    

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20. def toString(): String

    

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21. def tokenize(text: CharSequence): Seq[KoreanToken]

    

    Tokenize text into a sequence of KoreanTokens, which includes part-of-speech information and whether a token is an out-of-vocabulary term.

    Tokenize text into a sequence of KoreanTokens, which includes part-of-speech information and whether a token is an out-of-vocabulary term.

    text

    input text

    returns

    A sequence of KoreanTokens.

22. def tokensToStrings(tokens: Seq[KoreanToken]): Seq[String]

    

    Tokenize text into a sequence of token strings.

    Tokenize text into a sequence of token strings. This excludes spaces.

    tokens

    Korean tokens

    returns

    A sequence of token strings.

23. final def wait(): Unit

    

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

    

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

    

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