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@ -30,10 +30,11 @@ Intermediate results are stored in a Redis database to allow the analysis of mul
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# how to use napkin
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# how to use napkin
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~~~~
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~~~~
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usage: napkin.py [-h] [-v V] [-f F] [-t T] [-s] [-o O] [-l L] [--verbatim]
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usage: napkin.py [-h] [-v V] [-f F] [-t T] [-s] [-o O] [-l L] [-i]
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[--no-flushdb] [--binary] [--analysis ANALYSIS]
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[--verbatim] [--no-flushdb] [--binary] [--analysis ANALYSIS]
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[--disable-parser] [--disable-tagger]
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[--disable-parser] [--disable-tagger]
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[--token-span TOKEN_SPAN] [--table-format TABLE_FORMAT]
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[--token-span TOKEN_SPAN] [--table-format TABLE_FORMAT]
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[--full-labels]
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Extract statistical analysis of text
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Extract statistical analysis of text
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@ -46,6 +47,7 @@ optional arguments:
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-s display the overall statistics (default is False)
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-s display the overall statistics (default is False)
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-o O output format (default is csv), json, readable
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-o O output format (default is csv), json, readable
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-l L language used for the analysis (default is en)
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-l L language used for the analysis (default is en)
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-i Use stdin instead of a filename
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--verbatim Don't use the lemmatized form, use verbatim. (default
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--verbatim Don't use the lemmatized form, use verbatim. (default
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is the lematized form)
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is the lematized form)
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--no-flushdb Don't flush the redisdb, useful when you want to
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--no-flushdb Don't flush the redisdb, useful when you want to
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@ -61,6 +63,8 @@ optional arguments:
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Find the sentences where a specific token is located
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Find the sentences where a specific token is located
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--table-format TABLE_FORMAT
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--table-format TABLE_FORMAT
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set tabulate format (default is fancy_grid)
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set tabulate format (default is fancy_grid)
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--full-labels store each label value in a ranked set (default is
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False)
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~~~~
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~~~~
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# example usage of napkin
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# example usage of napkin
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