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- W2566811487 abstract "Social scientists who do not have specialized natural language processing training often use a unigram bag-of-words (BOW) representation when analyzing text corpora. We offer a new phrase-based method, NPFST, for enriching a unigram BOW. NPFST uses a partof-speech tagger and a finite state transducer to extract multiword phrases to be added to a unigram BOW. We compare NPFST to both ngram and parsing methods in terms of yield, recall, and efficiency. We then demonstrate how to use NPFST for exploratory analyses; it performs well, without configuration, on many different kinds of English text. Finally, we present a case study using NPFST to analyze a new corpus of U.S. congressional bills." @default.
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- W2566811487 date "2016-01-01" @default.
- W2566811487 modified "2023-10-02" @default.
- W2566811487 title "Bag of What? Simple Noun Phrase Extraction for Text Analysis" @default.
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- W2566811487 doi "https://doi.org/10.18653/v1/w16-5615" @default.
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