Handling multi-word features in R

Multi-word verbs (e.g. “set out”, “agree on” and “take off”) or names (e.g. “United Kingdom” and “New York”) are very important features of texts, but it is often difficult to keep them in bag-of-words text analysis, because tokenizers usually break up strings by spaces. You can preprocess texts to concatenate multi-word features with underscores like […]

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