nlp

Type Members

1. case class Corpus(documents: GenSeq[String], language: Language) extends Product with Serializable

   

2. trait DocumentVectorSpace[D] extends InnerProductSpace[Map[String, D], D]

   

3. trait Language extends AnyRef

   

4. case class Levenshtein[S, E, M, I]()(implicit evidence$1: Eq[E], evidence$2: Ring[I], evidence$3: Order[I], la: LinearAlgebra[M, I, I, I], idx: Indexed[S, I, E], finite: Finite[S, I]) extends MetricSpace[S, I] with Product with Serializable

   

   Based on the Scala implementation of

   Based on the Scala implementation of

   http://en.wikibooks.org/wiki/Algorithm_Implementation/Strings/Levenshtein_distance

5. case class TFIDFDocumentVectorSpace[D](corpus: Iterable[String], termVectorizer: TermVectorizer[D])(implicit evidence$1: Field[D], evidence$2: ConvertableFrom[D], evidence$3: ConvertableTo[D], eqD: Eq[D]) extends DocumentVectorSpace[D] with Product with Serializable

   

6. case class TermVectorizer[V](stopwords: Set[String])(implicit evidence$1: Ring[V]) extends (String) ⇒ Map[String, V] with Product with Serializable

   

7. case class UnweightedDocumentVectorSpace[D]()(implicit evidence$1: Field[D], _eqD: Eq[D]) extends DocumentVectorSpace[D] with Product with Serializable