contextualizer module

contextualizer.contextualize(word='none', option='fast', dbname='1527000328.745918')

Gettting a context with a speified method and saving in DB

Parameters:

• word (str) – The word meant for contextualization
• option (str) – Type of contextualization we aim for
• dbname (str) – The dbname that we save in

Returns:

The strucutred dictionary for word and contexts

Return type:

context_dict (dict)

contextualizer.list_contextualize(proc_list=[], option='fast', iterator=0, dbname='1527000328.745926')

Gettting a context with a speified method for the given word list

Parameters:

• proc_list (list) – The word list meant for contextualization
• option (str) – Type of contextualization we aim for
• iterator (int) – Processing Thread number
• dbname (str) – The dbname that we save in

Returns:

(void)

contextualizer.parallel_runner(process_number, proc_list, option, dbname)

Initialize DB for words. Running Parallel threads for contextualization.

Parameters:

• proc_list (list) – The word list meant for contextualization
• option (str) – Type of contextualization we aim for
• process_number (int) – Processing Thread number
• dbname (str) – The dbname that we save in

Returns:

(void)