from doc_preprocessing import get_docs_list
from modules import json_io
from modules import csv_io
if __name__ == '__main__':
if len(sys.argv) > 1:
doc_input = sys.argv[1]
else:
doc_input = 'output/en_doc/'
document_list = get_docs_list(doc_input)
tokenizer = Tokenizer()
doc_id = 1
for doc in document_list:
doc_obj = Document(doc_id, doc, doc_input)
# tokenize
normalize_tokens = []
for line in doc_obj.get_lines():
tokens = tokenizer.to_tokens(line.decode('utf-8'))
for token in tokens:
if tokenizer.is_stop_word(token):
token = ""
elif token.isdigit():
normalize_tokens.append(token.encode('utf-8'))
else:
token = tokenizer.stemming(token)
normalize_tokens.append(token.encode('utf-8'))
csv_io.write_csv('output/en_tokens/' + doc, [normalize_tokens])
del doc_obj
doc_id += 1
from doc_preprocessing import get_docs_list
from modules import json_io
from modules import csv_io
if __name__=='__main__':
if len(sys.argv) > 1:
doc_input = sys.argv[1]
else:
doc_input = 'output/en_doc/'
document_list = get_docs_list(doc_input)
tokenizer = Tokenizer()
doc_id = 1
for doc in document_list:
doc_obj = Document(doc_id, doc, doc_input)
# tokenize
normalize_tokens = []
for line in doc_obj.get_lines():
tokens = tokenizer.to_tokens(line.decode('utf-8'))
for token in tokens:
if tokenizer.is_stop_word(token):
token = ""
elif token.isdigit():
normalize_tokens.append(token.encode('utf-8'))
else:
token = tokenizer.stemming(token)
normalize_tokens.append(token.encode('utf-8'))
csv_io.write_csv('output/en_tokens/' + doc, [normalize_tokens])
del doc_obj
doc_id += 1
