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i Data-Intensive Text Processing with MapReduce

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IData-Intensive Text Processingwith MapReduceJimmy Lin and Chris DyerUniversity of Maryland, College ParkManuscript prepared April 11, 2010This is the pre-production manuscript of a book in the Morgan & Claypool SynthesisLectures on Human Language Technologies. Anticipated publication date is . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii1Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . in the Clouds.

Data are called corpora (singular, corpus) by NLP researchers and collections by those from the IR community. Aspects of the representations of the data are called fea-tures, which may be \super cial" and easy to extract, such as the words and sequences ... a task known as sentiment analysis or opinion mining [118], which has been applied to ...

  Analysis, Pruco, Sentiment, Sentiment analysis

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