LangBundle

abstract def stopwords: Set[String]

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

def isContentTerm(term: String): Boolean

def isHashtag(term: String): Boolean

final def isInstanceOf[T0]: Boolean

def isMention(term: String): Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

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

def termBigrams(tokens: Seq[String]): Set[String]

def termBigrams(text: String): Set[String]

def termNgrams(tokens: Seq[String], min: Int, max: Int): Set[String]

def termNgrams(text: String, min: Int, max: Int): Set[String]

def termTrigrams(tokens: Seq[String]): Set[String]

def termTrigrams(text: String): Set[String]

def terms(tokens: Seq[String]): Set[String]

def terms(text: String): Set[String]

def termsPlus(tokens: Seq[String]): Set[String]

Word-only terms plus hashtags, emoji, @-mentions

def termsPlus(text: String): Set[String]

Word-only terms plus hashtags, emoji, @-mentions

def toString(): String

def tokens(text: String): Vector[String]

Parse text into an array of String

final def wait(): Unit

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

final def wait(arg0: Long): Unit