def from_file(fname):
"""Instantiate a Tweet object from previously-serialized Tweet object.
"""
b, e = os.path.splitext(fname)
fname = b + '.json'
if not os.path.isfile(fname):
raise IOError('File does not exist: {:s}'.format(fname))
json = json_io.read(fname)
tw = Tweet(json)
return tw
from __future__ import division, print_function, unicode_literals
import json_io
import word_set
import tagger
"""
This is an example of using the two classes Word_Set and Tagger to tag specified words
in a sentence.
"""
# Load tag/word maps from file.
fname_config = 'config.json'
mapping = json_io.read(fname_config)
# Build a tag matcher class with loaded tag/word mapping.
tag_matcher = tagger.Tagger(mapping)
# Demonstrate with a sentence.
sentence = 'I like to feed an apple and a carrot to the one horse while the cow eats asparagus.'
a, b, c, d = tag_matcher.process(sentence)
print('Original: {:s}\n'.format(a))
print('tagged: {:s}\n'.format(b))
print('untagged: {:s}\n'.format(c))
print('Final: {:s}\n'.format(d))
def load_json(file_path: str):
return json_io.read(file_path)
