POS tagging with PySpark on an Anaconda cluster
Parts-of-speech tagging is the process of converting a sentence in the form of a list of words, into a list of tuples, where each tuple is of the form (word, tag). The tag is a part-of-speech tag and signifies whether the word is a noun, adjective, verb and so on. This is a necessary step before chunking. With parts-of-speech tags, a chunker knows how to identify phrases based on tag patterns. These POS tags are used for grammar analysis and word sense disambiguation.
Getting ready
To step through this recipe, you will need a running Spark cluster either in pseudo distributed mode or in one of the distributed modes, that is, standalone, YARN, or Mesos. Also, have PySpark and Anaconda installed on the ...
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