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Table of Contents

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  1. Preface
  2. Working with Transformations
  3. Address Validator Transformation
  4. Aggregator Transformation
  5. Association Transformation
  6. Bad Record Exception Transformation
  7. Case Converter Transformation
  8. Classifier Transformation
  9. Cleanse transformation
  10. Comparison Transformation
  11. Custom Transformation
  12. Custom Transformation Functions
  13. Consolidation Transformation
  14. Data Masking Transformation
  15. Data Masking Examples
  16. Decision Transformation
  17. Duplicate Record Exception Transformation
  18. Dynamic Lookup Cache
  19. Expression Transformation
  20. External Procedure Transformation
  21. Filter Transformation
  22. HTTP Transformation
  23. Identity Resolution Transformation
  24. Java Transformation
  25. Java Transformation API Reference
  26. Java Expressions
  27. Java Transformation Example
  28. Joiner Transformation
  29. Key Generator Transformation
  30. Labeler Transformation
  31. Lookup Transformation
  32. Lookup Caches
  33. Match Transformation
  34. Match Transformations in Field Analysis
  35. Match Transformations in Identity Analysis
  36. Merge Transformation
  37. Normalizer Transformation
  38. Parser Transformation
  39. Rank Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. Source Qualifier Transformation
  44. SQL Transformation
  45. Using the SQL Transformation in a Mapping
  46. Stored Procedure Transformation
  47. Standardizer Transformation
  48. Transaction Control Transformation
  49. Union Transformation
  50. Unstructured Data Transformation
  51. Update Strategy Transformation
  52. Weighted Average Transformation
  53. XML Transformations

Transformation Guide

Transformation Guide

Create the Classifier Mapping

Create the Classifier Mapping

You create a mapping that reads a data source, classifies the languages in the data, and writes the data to targets based on the languages they contain.
The following image shows the mapping in the Developer tool:
The mapping contains a data source object, a Classifier transformation, a Router transformation, and two data target objects. The mapping writes data to either target object based on the language used in the data.
The mapping you create contains the following objects:
Object Name
Description
Read_tweet_user_lang
Data source.
Contains the twitter messages
Classifier
Classifier transformation.
Identifies the languages used in the twitter messages.
Router
Router transformation.
Routes the twitter messages to data target objects according to the languages they contain.
Write_en_tweets_out
Data target.
Contains twitter messages in English.
Write_other_tweets_out
Data target.
Contains non-English-language twitter messages.

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