WordCounts

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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5. def clone(): AnyRef

   

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6. def count(reader: RawReader, field: String, words: Set[String], docSet: Set[Int], maxWords: Int, analyzer: Analyzer): Map[String, Long]

   

   Count frequencies of words in the index with given org.nlp4l.lucene.analysis.Analyzer.

   Count frequencies of words in the index with given org.nlp4l.lucene.analysis.Analyzer.

   reader

   the RawReader instance

   field

   the field name for counting words

   words

   the set of words to be counted. All words will be returned if empty set is given.

   docSet

   the index subset (set of document ids) for counting. Sums up word frequencies around whole index if empty set is given.

   maxWords

   the max number of words to be returned. Top frequent words are returned if positive integer is given, otherwise all words will be returned. Default is -1 (all words will be returned.)

   analyzer

   the Analyzer to re-analyze field values to count words. This is used when no term vector is available for given documents / field.

   returns

   the Map of word and frequency associated this word.

7. def count(reader: IReader, field: String, words: Set[String], docSet: Set[Int], maxWords: Int = 1): Map[String, Long]

   

   Count frequencies of words in the index with the org.nlp4l.lucene.Schema in the given IReader.

   Count frequencies of words in the index with the org.nlp4l.lucene.Schema in the given IReader.

   reader

   the IReader instance

   field

   the field name for counting words

   words

   the set of words to be counted. All words will be returned if empty set is given.

   docSet

   the index subset (set of document ids) for counting.

   maxWords

   the max number of words to be returned. Top frequent words are returned if positive integer is given, otherwise all words will be returned. Default is -1 (all words will be returned.)

   returns

   the Map of word and frequency associated this word.

8. def countDF(reader: RawReader, field: String, words: Set[String], maxWords: Int = 1): Map[String, Long]

   

   Count document frequencies of words in the whole index.

   Count document frequencies of words in the whole index.

   reader

   the IReder instance

   field

   the field name for counting words

   words

   the set of words to be counted. All words will be returned if empty set is given.

   maxWords

   the max number of words to be returned. Top frequent words are returned if positive integer is given, otherwise all words will be returned. Default is -1 (all words will be returned.)

9. def countPrefix(reader: RawReader, field: String, prefix: String): Long

   

10. def countWords(text: String, words: Set[String], analyzer: Analyzer): Map[String, Long]

    

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

    

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12. def equals(arg0: Any): Boolean

    

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13. def finalize(): Unit

    

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16. final def isInstanceOf[T0]: Boolean

    

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

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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

    

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21. def toString(): String

    

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22. def totalCount(reader: RawReader, field: String, docSet: Set[Int], analyzer: Analyzer): Long

    

    Count the frequency for all words in the index with given org.nlp4l.lucene.analysis.Analyzer.

    Count the frequency for all words in the index with given org.nlp4l.lucene.analysis.Analyzer.

    reader

    the RawReader instance

    field

    the field name for counting words

    docSet

    the set of words to be counted. All words will be returned if empty set is given.

    analyzer

    the Analyzer to re-analyze field values to count words. This is used when no term vector is available for given documents / field.

    returns

    the Map of word and frequency associated this word.

23. def totalCount(reader: IReader, field: String, docSet: Set[Int]): Long

    

    Count the frequency for all words in the index with the org.nlp4l.lucene.Schema in the given IReader.

    Count the frequency for all words in the index with the org.nlp4l.lucene.Schema in the given IReader.

    reader

    the IReader instance

    field

    the field name for counting words

    docSet

    the set of words to be counted. All words will be returned if empty set is given.

    returns

    the Map of word and frequency associated this word.

24. final def wait(): Unit

    

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

    

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

    

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