text_utils module

text_utils.adjective_remove(full_text_list)

Remove adjectives from a list of texts and return the whole list

Parameters:full_text_list (str) – Text split in several lists Returns:The initial list of strings with no adjectives, if successful, None if failed Return type:str

text_utils.adverb_remove(full_text_list)

Remove adverbs from a list of texts and return the list

Parameters:full_text_list (str) – Text split in several lists Returns:The initial list of strings with no adverbs, if successful, None if failed Return type:list

text_utils.fuzzy_word_remove(word_list)

Remove words that are alike from the list

Parameters:word_list (str) – Arbitrary list of words Returns:The cleaned list Return type:list

text_utils.special_symbols_remove(full_text_list)

Remove special symbols from a list of texts and return the list. (Few relevant symbols stay)

Parameters:full_text_list (str) – Text split in several lists Returns:The initial list of strings with no adjectives, if successful, None if failed Return type:list

text_utils.stop_word_remove(full_text_list)

Remove stopwords from a list of texts and return the list

Parameters:full_text_list (str) – Text split in several lists Returns:The initial list of strings with no stopwords if successful, None if failed Return type:list

text_utils.text_segmentator(full_text)

Segment the text on word by word basis, while removing stopwords

Parameters:full_text_list (list) – Text split in several lists Returns:The list of segmented words Return type:list

text_utils.verb_remove(full_text_list)

Remove verbs from a list of texts and return the list

Parameters:full_text_list (str) – Text split in several lists Returns:The initial list of strings with no verbs, if successful, None if failed Return type:str