15 commits

Author	SHA1	Message	Date
Alexandre Dulaunoy	13817d2f20	chg: [doc] example of a GitHub markdown format output	2020-10-13 07:46:21 +02:00
Alexandre Dulaunoy	2c2aaf3917	add: [readable] --table-format added to use any of the tabulate format available	2020-10-13 07:41:01 +02:00
Alexandre Dulaunoy	a313b14410	chg: [doc] missing !	2020-10-11 14:32:45 +02:00
Alexandre Dulaunoy	18d39aa591	chg: [doc] overview of processing added	2020-10-11 14:32:00 +02:00
Alexandre Dulaunoy	42e3094489	new: [option] --token-span to find a specific token in a sentence ... This output the sentence where a specific token has been seen. Require parser module of spacy.	2020-10-11 11:24:17 +02:00
Alexandre Dulaunoy	85044335f4	new: [option] to disable parser and/or tagger from the standard processing pipeline of Spacy ... If you don't need any of the syntactic information while using napkin, you can disable parser and tagger. You can gain some memory space and time for processing. By default, it's still active as napkin might use of the syntactic information in the future.	2020-10-11 11:04:30 +02:00
Alexandre Dulaunoy	24e69a8ad9	new: [option] --analysis to limit the output to a specific analysis	2020-10-09 23:23:36 +02:00
Alexandre Dulaunoy	02ea4cc717	chg: [doc] README improved + funky logo	2020-10-09 21:52:00 +02:00
Alexandre Dulaunoy	98a8d8275e	chg: [output] make readable table-like with bold headers ... Official request from @C00kie-	2020-10-09 18:36:33 +02:00
Alexandre Dulaunoy	10049a69b6	new: [option] --binary to dump in binary format instead of UTF-8	2020-10-08 23:30:57 +02:00
Alexandre Dulaunoy	26244739dd	new: [option] Don't flush the redisdb, useful when you want to process multiple files and aggregate the results.	2020-10-08 23:22:00 +02:00
Alexandre Dulaunoy	949e41d19f	new: [lemmatized/verbatim] displaying verbatim or lemmatized version is now an option	2020-10-08 23:13:51 +02:00
Alexandre Dulaunoy	526f88071c	new: [feature] -s option to display the overall statistics of different tokens seen	2020-08-20 13:28:49 +02:00
Alexandre Dulaunoy	dd7c796460	new: [napkin] first release ... Napkin is a Python tool to produce statistical analysis of a text. Analysis features are : - Verbs frequency - Nouns frequency - Digit frequency - Labels frequency such as (Person, organisation, product, location) as defined in spacy.io [named entities](https://spacy.io/api/annotation#named-entities) - URL frequency - Email frequency - Mention frequency (everything prefixed with an @ symbol) - Out-Of-Vocabulary (OOV) word frequency meaning any words outside English dictionary	2020-08-19 17:33:04 +02:00
Alexandre Dulaunoy	e3e27c7ce9	Initial commit	2020-08-18 16:49:24 +02:00