ExtractEntities

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

   

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2. final def ##(): Int

   

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7. def equals(arg0: Any): Boolean

   

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8. def extractAndOutput(iNerClassifierFile: String, rdd: RDD[(String, String, String, String)], outputFile: String): RDD[(String, String, String, String)]

   

   Saves the NER output to file from a given RDD.

   Saves the NER output to file from a given RDD.

   iNerClassifierFile

   path of classifier file

   rdd

   with values (date, url, content, content digest)

   outputFile

   path of output directory

   returns

   a json object with classification entities extracted.

9. def extractFromRecords(iNerClassifierFile: String, inputRecordFile: String, outputFile: String, sc: SparkContext): RDD[(String, String, String, String)]

   

   Extracts named entities from WARC or ARC files at a given path to a given output directory.

   Extracts named entities from WARC or ARC files at a given path to a given output directory.

   iNerClassifierFile

   path to NER classifier file

   inputRecordFile

   path of ARC or WARC file from which to extract entities

   outputFile

   path of output directory

   sc

   the Apache Spark context

   returns

   an rdd with classification entities.

10. def finalize(): Unit

    

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

    

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15. final def notify(): Unit

    

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

    

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22. def waneFormat(input: String): String

    

    Converts output of NER classifier to WANE format

    Converts output of NER classifier to WANE format

    returns

    output of NER Classifier in WANE format