Object

com.twitter.penguin.korean.phrase_extractor

KoreanPhraseExtractor

Related Doc: package phrase_extractor

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object KoreanPhraseExtractor

KoreanPhraseExtractor extracts suitable phrases for trending topics.

1. Collapse sequence of POSes to phrase candidates (초 + 거대 + 기업 + 의 -> 초거대기업 + 의) 2. Find suitable phrases

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Type Members

  1. case class KoreanPhrase(tokens: Seq[KoreanToken], pos: KoreanPos = Noun) extends Product with Serializable

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  2. type KoreanPhraseChunk = Seq[KoreanPhrase]

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  3. case class PhraseBuffer(phrases: List[KoreanPhrase], curTrie: List[KoreanPosTrie], ending: Option[KoreanPos]) extends Product with Serializable

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. def collapsePos(tokens: Seq[KoreanToken]): Seq[KoreanPhrase]

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    protected[com.twitter.penguin.korean]
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  8. def equals(arg0: Any): Boolean

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

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    Find suitable phrases

    Find suitable phrases

    tokens

    A sequence of tokens

    filterSpam

    true if spam words and slangs to be filtered out

    addHashtags

    true if #hashtags to be included

    returns

    A list of KoreanPhrase

  10. def finalize(): Unit

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  11. def getCandidatePhraseChunks(phrases: KoreanPhraseChunk, filterSpam: Boolean = false): Seq[KoreanPhraseChunk]

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