Packages

class TextMatcher extends AnnotatorApproach[TextMatcherModel] with ParamsAndFeaturesWritable

Annotator to match exact phrases (by token) provided in a file against a Document.

A text file of predefined phrases must be provided with setEntities. The text file can als be set directly as an ExternalResource.

For extended examples of usage, see the Examples and the TextMatcherTestSpec.

Example

In this example, the entities file is of the form

...
dolore magna aliqua
lorem ipsum dolor. sit
laborum
...

where each line represents an entity phrase to be extracted.

import spark.implicits._
import com.johnsnowlabs.nlp.DocumentAssembler
import com.johnsnowlabs.nlp.annotator.Tokenizer
import com.johnsnowlabs.nlp.annotator.TextMatcher
import com.johnsnowlabs.nlp.util.io.ReadAs
import org.apache.spark.ml.Pipeline

val documentAssembler = new DocumentAssembler()
  .setInputCol("text")
  .setOutputCol("document")

val tokenizer = new Tokenizer()
  .setInputCols("document")
  .setOutputCol("token")

val data = Seq("Hello dolore magna aliqua. Lorem ipsum dolor. sit in laborum").toDF("text")
val entityExtractor = new TextMatcher()
  .setInputCols("document", "token")
  .setEntities("src/test/resources/entity-extractor/test-phrases.txt", ReadAs.TEXT)
  .setOutputCol("entity")
  .setCaseSensitive(false)
  .setTokenizer(tokenizer.fit(data))

val pipeline = new Pipeline().setStages(Array(documentAssembler, tokenizer, entityExtractor))
val results = pipeline.fit(data).transform(data)

results.selectExpr("explode(entity) as result").show(false)
+------------------------------------------------------------------------------------------+
|result                                                                                    |
+------------------------------------------------------------------------------------------+
|[chunk, 6, 24, dolore magna aliqua, [entity -> entity, sentence -> 0, chunk -> 0], []]    |
|[chunk, 27, 48, Lorem ipsum dolor. sit, [entity -> entity, sentence -> 0, chunk -> 1], []]|
|[chunk, 53, 59, laborum, [entity -> entity, sentence -> 0, chunk -> 2], []]               |
+------------------------------------------------------------------------------------------+
See also

BigTextMatcher to match large amounts of text

Linear Supertypes
ParamsAndFeaturesWritable, HasFeatures, AnnotatorApproach[TextMatcherModel], CanBeLazy, DefaultParamsWritable, MLWritable, HasOutputAnnotatorType, HasOutputAnnotationCol, HasInputAnnotationCols, Estimator[TextMatcherModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TextMatcher
  2. ParamsAndFeaturesWritable
  3. HasFeatures
  4. AnnotatorApproach
  5. CanBeLazy
  6. DefaultParamsWritable
  7. MLWritable
  8. HasOutputAnnotatorType
  9. HasOutputAnnotationCol
  10. HasInputAnnotationCols
  11. Estimator
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TextMatcher()
  2. new TextMatcher(uid: String)

    uid

    internal uid required to generate writable annotators

Type Members

  1. type AnnotatorType = String
    Definition Classes
    HasOutputAnnotatorType

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. def $$[T](feature: StructFeature[T]): T
    Attributes
    protected
    Definition Classes
    HasFeatures
  5. def $$[K, V](feature: MapFeature[K, V]): Map[K, V]
    Attributes
    protected
    Definition Classes
    HasFeatures
  6. def $$[T](feature: SetFeature[T]): Set[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  7. def $$[T](feature: ArrayFeature[T]): Array[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  8. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  9. def _fit(dataset: Dataset[_], recursiveStages: Option[PipelineModel]): TextMatcherModel
    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  10. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  11. def beforeTraining(spark: SparkSession): Unit
    Definition Classes
    AnnotatorApproach
  12. val buildFromTokens: BooleanParam

    Whether the TextMatcher should take the CHUNK from TOKEN or not (Default: false)

  13. val caseSensitive: BooleanParam

    Whether to match regardless of case (Default: true)

  14. final def checkSchema(schema: StructType, inputAnnotatorType: String): Boolean
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  15. final def clear(param: Param[_]): TextMatcher.this.type
    Definition Classes
    Params
  16. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  17. final def copy(extra: ParamMap): Estimator[TextMatcherModel]
    Definition Classes
    AnnotatorApproach → Estimator → PipelineStage → Params
  18. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  19. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  20. val description: String

    Extracts entities from target dataset given in a text file

    Extracts entities from target dataset given in a text file

    Definition Classes
    TextMatcher → AnnotatorApproach
  21. val entities: ExternalResourceParam

    External resource for the entities, e.g.

    External resource for the entities, e.g. a text file where each line is the string of an entity

  22. val entityValue: Param[String]

    Value for the entity metadata field (Default: "entity")

  23. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  24. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  25. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  26. def explainParams(): String
    Definition Classes
    Params
  27. final val extraInputCols: StringArrayParam
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  28. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  29. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  30. val features: ArrayBuffer[Feature[_, _, _]]
    Definition Classes
    HasFeatures
  31. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  32. final def fit(dataset: Dataset[_]): TextMatcherModel
    Definition Classes
    AnnotatorApproach → Estimator
  33. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[TextMatcherModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  34. def fit(dataset: Dataset[_], paramMap: ParamMap): TextMatcherModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  35. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): TextMatcherModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  36. def get[T](feature: StructFeature[T]): Option[T]
    Attributes
    protected
    Definition Classes
    HasFeatures
  37. def get[K, V](feature: MapFeature[K, V]): Option[Map[K, V]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  38. def get[T](feature: SetFeature[T]): Option[Set[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  39. def get[T](feature: ArrayFeature[T]): Option[Array[T]]
    Attributes
    protected
    Definition Classes
    HasFeatures
  40. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  41. def getBuildFromTokens: Boolean

    Getter for buildFromTokens param

  42. def getCaseSensitive: Boolean

    Whether to match regardless of case (Default: true)

  43. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  44. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  45. def getEntityValue: String

    Getter for Value for the entity metadata field

  46. def getInputCols: Array[String]

    returns

    input annotations columns currently used

    Definition Classes
    HasInputAnnotationCols
  47. def getLazyAnnotator: Boolean
    Definition Classes
    CanBeLazy
  48. def getMergeOverlapping: Boolean

    Whether to merge overlapping matched chunks (Default: false)

  49. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  50. final def getOutputCol: String

    Gets annotation column name going to generate

    Gets annotation column name going to generate

    Definition Classes
    HasOutputAnnotationCol
  51. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  52. def getTokenizer: TokenizerModel

    The Tokenizer to perform tokenization with

  53. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  54. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  55. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  56. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  57. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  58. val inputAnnotatorTypes: Array[String]

    Output annotator type : DOCUMENT, TOKEN

    Output annotator type : DOCUMENT, TOKEN

    Definition Classes
    TextMatcher → HasInputAnnotationCols
  59. final val inputCols: StringArrayParam

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified

    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  60. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  61. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  62. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  63. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  64. val lazyAnnotator: BooleanParam
    Definition Classes
    CanBeLazy
  65. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  66. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  69. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  70. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  71. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  72. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  73. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  74. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  75. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  76. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  77. val mergeOverlapping: BooleanParam

    Whether to merge overlapping matched chunks (Default: false)

  78. def msgHelper(schema: StructType): String
    Attributes
    protected
    Definition Classes
    HasInputAnnotationCols
  79. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  80. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  81. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  82. def onTrained(model: TextMatcherModel, spark: SparkSession): Unit
    Definition Classes
    AnnotatorApproach
  83. def onWrite(path: String, spark: SparkSession): Unit
    Attributes
    protected
    Definition Classes
    ParamsAndFeaturesWritable
  84. val optionalInputAnnotatorTypes: Array[String]
    Definition Classes
    HasInputAnnotationCols
  85. val outputAnnotatorType: AnnotatorType

    Output annotator type : CHUNK

    Output annotator type : CHUNK

    Definition Classes
    TextMatcher → HasOutputAnnotatorType
  86. final val outputCol: Param[String]
    Attributes
    protected
    Definition Classes
    HasOutputAnnotationCol
  87. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  88. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  89. def set[T](feature: StructFeature[T], value: T): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  90. def set[K, V](feature: MapFeature[K, V], value: Map[K, V]): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  91. def set[T](feature: SetFeature[T], value: Set[T]): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  92. def set[T](feature: ArrayFeature[T], value: Array[T]): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  93. final def set(paramPair: ParamPair[_]): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    Params
  94. final def set(param: String, value: Any): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    Params
  95. final def set[T](param: Param[T], value: T): TextMatcher.this.type
    Definition Classes
    Params
  96. def setBuildFromTokens(v: Boolean): TextMatcher.this.type

    Setter for buildFromTokens param

  97. def setCaseSensitive(v: Boolean): TextMatcher.this.type

    Whether to match regardless of case (Default: true)

  98. def setDefault[T](feature: StructFeature[T], value: () ⇒ T): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  99. def setDefault[K, V](feature: MapFeature[K, V], value: () ⇒ Map[K, V]): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  100. def setDefault[T](feature: SetFeature[T], value: () ⇒ Set[T]): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  101. def setDefault[T](feature: ArrayFeature[T], value: () ⇒ Array[T]): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    HasFeatures
  102. final def setDefault(paramPairs: ParamPair[_]*): TextMatcher.this.type
    Attributes
    protected
    Definition Classes
    Params
  103. final def setDefault[T](param: Param[T], value: T): TextMatcher.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  104. def setEntities(path: String, readAs: Format, options: Map[String, String] = Map("format" -> "text")): TextMatcher.this.type

    Provides a file with phrases to match.

    Provides a file with phrases to match. Default: Looks up path in configuration.

    path

    a path to a file that contains the entities in the specified format.

    readAs

    the format of the file, can be one of {ReadAs.TEXT, ReadAs.SPARK}. Defaults to ReadAs.TEXT.

    options

    a map of additional parameters. Defaults to Map("format" -> "text").

    returns

    this

  105. def setEntities(value: ExternalResource): TextMatcher.this.type

    Provides a file with phrases to match (Default: Looks up path in configuration)

  106. def setEntityValue(v: String): TextMatcher.this.type

    Setter for Value for the entity metadata field

  107. def setExtraInputCols(value: Array[String]): TextMatcher.this.type
    Definition Classes
    HasInputAnnotationCols
  108. final def setInputCols(value: String*): TextMatcher.this.type
    Definition Classes
    HasInputAnnotationCols
  109. def setInputCols(value: Array[String]): TextMatcher.this.type

    Overrides required annotators column if different than default

    Overrides required annotators column if different than default

    Definition Classes
    HasInputAnnotationCols
  110. def setLazyAnnotator(value: Boolean): TextMatcher.this.type
    Definition Classes
    CanBeLazy
  111. def setMergeOverlapping(v: Boolean): TextMatcher.this.type

    Whether to merge overlapping matched chunks (Default: false)

  112. final def setOutputCol(value: String): TextMatcher.this.type

    Overrides annotation column name when transforming

    Overrides annotation column name when transforming

    Definition Classes
    HasOutputAnnotationCol
  113. def setTokenizer(tokenizer: TokenizerModel): TextMatcher.this.type

    The Tokenizer to perform tokenization with

  114. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  115. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  116. val tokenizer: StructFeature[TokenizerModel]

    The Tokenizer to perform tokenization with

  117. def train(dataset: Dataset[_], recursivePipeline: Option[PipelineModel]): TextMatcherModel
    Definition Classes
    TextMatcher → AnnotatorApproach
  118. final def transformSchema(schema: StructType): StructType

    requirement for pipeline transformation validation.

    requirement for pipeline transformation validation. It is called on fit()

    Definition Classes
    AnnotatorApproach → PipelineStage
  119. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  120. val uid: String
    Definition Classes
    TextMatcher → Identifiable
  121. def validate(schema: StructType): Boolean

    takes a Dataset and checks to see if all the required annotation types are present.

    takes a Dataset and checks to see if all the required annotation types are present.

    schema

    to be validated

    returns

    True if all the required types are present, else false

    Attributes
    protected
    Definition Classes
    AnnotatorApproach
  122. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  123. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  124. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  125. def write: MLWriter
    Definition Classes
    ParamsAndFeaturesWritable → DefaultParamsWritable → MLWritable

Inherited from ParamsAndFeaturesWritable

Inherited from HasFeatures

Inherited from AnnotatorApproach[TextMatcherModel]

Inherited from CanBeLazy

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from HasOutputAnnotatorType

Inherited from HasOutputAnnotationCol

Inherited from HasInputAnnotationCols

Inherited from Estimator[TextMatcherModel]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Annotator types

Required input and expected output annotator types

Parameters

A list of (hyper-)parameter keys this annotator can take. Users can set and get the parameter values through setters and getters, respectively.

Parameter setters

Parameter getters

Members