Package index
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as_tokens()
- Create a list of tokens
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bind_lr()
- Bind importance of bigrams
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bind_tf_idf2()
- Bind term frequency and inverse document frequency
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collapse_tokens()
- Collapse sequences of tokens by condition
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get_dict_features()
- Get dictionary features
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is_blank()
- Check if scalars are blank
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lex_density()
- Calculate lexical density
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mute_tokens()
- Mute tokens by condition
-
ngram_tokenizer()
- Ngrams tokenizer
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pack()
- Pack a data.frame of tokens
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prettify()
- Prettify tokenized output
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tokenize()
- Tokenize sentences using 'Vibrato'