[SPARK-8169] [ML] Add StopWordsRemover as a transformer

jira: https://issues.apache.org/jira/browse/SPARK-8169

stop words: http://en.wikipedia.org/wiki/Stop_words

StopWordsRemover takes a string array column and outputs a string array column with all defined stop words removed. The transformer should also come with a standard set of stop words as default.

Currently I used a minimum stop words set since on some [case](http://nlp.stanford.edu/IR-book/html/htmledition/dropping-common-terms-stop-words-1.html), small set of stop words is preferred.
ASCII char has been tested, Yet I cannot check it in due to style check.

Further thought,
1. Maybe I should use OpenHashSet. Is it recommended?
2. Currently I leave the null in input array untouched, i.e. Array(null, null) => Array(null, null).
3. If the current stop words set looks too limited, any suggestion for replacement? We can have something similar to the one in [SKlearn](https://github.com/scikit-learn/scikit-learn/blob/master/sklearn/feature_extraction/stop_words.py).

Author: Yuhao Yang <hhbyyh@gmail.com>

Closes apache#6742 from hhbyyh/stopwords and squashes the following commits:

fa959d8 [Yuhao Yang] separating udf
f190217 [Yuhao Yang] replace default list and other small fix
04403ab [Yuhao Yang] Merge remote-tracking branch 'upstream/master' into stopwords
b3aa957 [Yuhao Yang] add stopWordsRemover

mllib/src/main/scala/org/apache/spark/ml/feature/StopWordsRemover.scala

@@ -0,0 +1,155 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.ml.feature
+
+import org.apache.spark.annotation.Experimental
+import org.apache.spark.ml.Transformer
+import org.apache.spark.ml.param.shared.{HasInputCol, HasOutputCol}
+import org.apache.spark.ml.param.{ParamMap, BooleanParam, Param}
+import org.apache.spark.ml.util.Identifiable
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.types.{StringType, StructField, ArrayType, StructType}
+import org.apache.spark.sql.functions.{col, udf}
+
+/**
+ * stop words list
+ */
+private object StopWords {
+
+  /**
+   * Use the same default stopwords list as scikit-learn.
+   * The original list can be found from "Glasgow Information Retrieval Group"
+   * [[http://ir.dcs.gla.ac.uk/resources/linguistic_utils/stop_words]]
+   */
+  val EnglishStopWords = Array( "a", "about", "above", "across", "after", "afterwards", "again",
+    "against", "all", "almost", "alone", "along", "already", "also", "although", "always",
+    "am", "among", "amongst", "amoungst", "amount", "an", "and", "another",
+    "any", "anyhow", "anyone", "anything", "anyway", "anywhere", "are",
+    "around", "as", "at", "back", "be", "became", "because", "become",
+    "becomes", "becoming", "been", "before", "beforehand", "behind", "being",
+    "below", "beside", "besides", "between", "beyond", "bill", "both",
+    "bottom", "but", "by", "call", "can", "cannot", "cant", "co", "con",
+    "could", "couldnt", "cry", "de", "describe", "detail", "do", "done",
+    "down", "due", "during", "each", "eg", "eight", "either", "eleven", "else",
+    "elsewhere", "empty", "enough", "etc", "even", "ever", "every", "everyone",
+    "everything", "everywhere", "except", "few", "fifteen", "fify", "fill",
+    "find", "fire", "first", "five", "for", "former", "formerly", "forty",
+    "found", "four", "from", "front", "full", "further", "get", "give", "go",
+    "had", "has", "hasnt", "have", "he", "hence", "her", "here", "hereafter",
+    "hereby", "herein", "hereupon", "hers", "herself", "him", "himself", "his",
+    "how", "however", "hundred", "i", "ie", "if", "in", "inc", "indeed",
+    "interest", "into", "is", "it", "its", "itself", "keep", "last", "latter",
+    "latterly", "least", "less", "ltd", "made", "many", "may", "me",
+    "meanwhile", "might", "mill", "mine", "more", "moreover", "most", "mostly",
+    "move", "much", "must", "my", "myself", "name", "namely", "neither",
+    "never", "nevertheless", "next", "nine", "no", "nobody", "none", "noone",
+    "nor", "not", "nothing", "now", "nowhere", "of", "off", "often", "on",
+    "once", "one", "only", "onto", "or", "other", "others", "otherwise", "our",
+    "ours", "ourselves", "out", "over", "own", "part", "per", "perhaps",
+    "please", "put", "rather", "re", "same", "see", "seem", "seemed",
+    "seeming", "seems", "serious", "several", "she", "should", "show", "side",
+    "since", "sincere", "six", "sixty", "so", "some", "somehow", "someone",
+    "something", "sometime", "sometimes", "somewhere", "still", "such",
+    "system", "take", "ten", "than", "that", "the", "their", "them",
+    "themselves", "then", "thence", "there", "thereafter", "thereby",
+    "therefore", "therein", "thereupon", "these", "they", "thick", "thin",
+    "third", "this", "those", "though", "three", "through", "throughout",
+    "thru", "thus", "to", "together", "too", "top", "toward", "towards",
+    "twelve", "twenty", "two", "un", "under", "until", "up", "upon", "us",
+    "very", "via", "was", "we", "well", "were", "what", "whatever", "when",
+    "whence", "whenever", "where", "whereafter", "whereas", "whereby",
+    "wherein", "whereupon", "wherever", "whether", "which", "while", "whither",
+    "who", "whoever", "whole", "whom", "whose", "why", "will", "with",
+    "within", "without", "would", "yet", "you", "your", "yours", "yourself", "yourselves")
+}
+
+/**
+ * :: Experimental ::
+ * A feature transformer that filters out stop words from input.
+ * Note: null values from input array are preserved unless adding null to stopWords explicitly.
+ * @see [[http://en.wikipedia.org/wiki/Stop_words]]
+ */
+@Experimental
+class StopWordsRemover(override val uid: String)
+  extends Transformer with HasInputCol with HasOutputCol {
+
+  def this() = this(Identifiable.randomUID("stopWords"))
+
+  /** @group setParam */
+  def setInputCol(value: String): this.type = set(inputCol, value)
+
+  /** @group setParam */
+  def setOutputCol(value: String): this.type = set(outputCol, value)
+
+  /**
+   * the stop words set to be filtered out
+   * @group param
+   */
+  val stopWords: Param[Array[String]] = new Param(this, "stopWords", "stop words")
+
+  /** @group setParam */
+  def setStopWords(value: Array[String]): this.type = set(stopWords, value)
+
+  /** @group getParam */
+  def getStopWords: Array[String] = $(stopWords)
+
+  /**
+   * whether to do a case sensitive comparison over the stop words
+   * @group param
+   */
+  val caseSensitive: BooleanParam = new BooleanParam(this, "caseSensitive",
+    "whether to do case-sensitive comparison during filtering")
+
+  /** @group setParam */
+  def setCaseSensitive(value: Boolean): this.type = set(caseSensitive, value)
+
+  /** @group getParam */
+  def getCaseSensitive: Boolean = $(caseSensitive)
+
+  setDefault(stopWords -> StopWords.EnglishStopWords, caseSensitive -> false)
+
+  override def transform(dataset: DataFrame): DataFrame = {
+    val outputSchema = transformSchema(dataset.schema)
+    val t = if ($(caseSensitive)) {
+        val stopWordsSet = $(stopWords).toSet
+        udf { terms: Seq[String] =>
+          terms.filter(s => !stopWordsSet.contains(s))
+        }
+      } else {
+        val toLower = (s: String) => if (s != null) s.toLowerCase else s
+        val lowerStopWords = $(stopWords).map(toLower(_)).toSet
+        udf { terms: Seq[String] =>
+          terms.filter(s => !lowerStopWords.contains(toLower(s)))
+        }
+    }
+
+    val metadata = outputSchema($(outputCol)).metadata
+    dataset.select(col("*"), t(col($(inputCol))).as($(outputCol), metadata))
+  }
+
+  override def transformSchema(schema: StructType): StructType = {
+    val inputType = schema($(inputCol)).dataType
+    require(inputType.sameType(ArrayType(StringType)),
+      s"Input type must be ArrayType(StringType) but got $inputType.")
+    val outputFields = schema.fields :+
+      StructField($(outputCol), inputType, schema($(inputCol)).nullable)
+    StructType(outputFields)
+  }
+
+  override def copy(extra: ParamMap): StopWordsRemover = defaultCopy(extra)
+}

mllib/src/test/scala/org/apache/spark/ml/feature/StopWordsRemoverSuite.scala

@@ -0,0 +1,80 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.spark.ml.feature
+
+import org.apache.spark.SparkFunSuite
+import org.apache.spark.mllib.util.MLlibTestSparkContext
+import org.apache.spark.sql.{DataFrame, Row}
+
+object StopWordsRemoverSuite extends SparkFunSuite {
+  def testStopWordsRemover(t: StopWordsRemover, dataset: DataFrame): Unit = {
+    t.transform(dataset)
+      .select("filtered", "expected")
+      .collect()
+      .foreach { case Row(tokens, wantedTokens) =>
+        assert(tokens === wantedTokens)
+    }
+  }
+}
+
+class StopWordsRemoverSuite extends SparkFunSuite with MLlibTestSparkContext {
+  import StopWordsRemoverSuite._
+
+  test("StopWordsRemover default") {
+    val remover = new StopWordsRemover()
+      .setInputCol("raw")
+      .setOutputCol("filtered")
+    val dataSet = sqlContext.createDataFrame(Seq(
+      (Seq("test", "test"), Seq("test", "test")),
+      (Seq("a", "b", "c", "d"), Seq("b", "c", "d")),
+      (Seq("a", "the", "an"), Seq()),
+      (Seq("A", "The", "AN"), Seq()),
+      (Seq(null), Seq(null)),
+      (Seq(), Seq())
+    )).toDF("raw", "expected")
+
+    testStopWordsRemover(remover, dataSet)
+  }
+
+  test("StopWordsRemover case sensitive") {
+    val remover = new StopWordsRemover()
+      .setInputCol("raw")
+      .setOutputCol("filtered")
+      .setCaseSensitive(true)
+    val dataSet = sqlContext.createDataFrame(Seq(
+      (Seq("A"), Seq("A")),
+      (Seq("The", "the"), Seq("The"))
+    )).toDF("raw", "expected")
+
+    testStopWordsRemover(remover, dataSet)
+  }
+
+  test("StopWordsRemover with additional words") {
+    val stopWords = StopWords.EnglishStopWords ++ Array("python", "scala")
+    val remover = new StopWordsRemover()
+      .setInputCol("raw")
+      .setOutputCol("filtered")
+      .setStopWords(stopWords)
+    val dataSet = sqlContext.createDataFrame(Seq(
+      (Seq("python", "scala", "a"), Seq()),
+      (Seq("Python", "Scala", "swift"), Seq("swift"))
+    )).toDF("raw", "expected")
+
+    testStopWordsRemover(remover, dataSet)
+  }
+}