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{ | |
"products": [ | |
{ | |
"productId": 1, | |
"purchaseable": true, | |
"prices": { | |
"usd": 1750, | |
"gbp": 1250 | |
} | |
}, |
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import urllib.request | |
import urllib.error | |
import urllib.parse | |
import re | |
from bs4 import BeautifulSoup | |
from bs4 import UnicodeDammit | |
lines = [] | |
base_url = "http://www.phonemicchart.com/transcribe/?w=%s" | |
output_file = open("output.txt", 'w', encoding='utf-8') |
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import nltk | |
import re | |
from nltk.tokenize import word_tokenize, sent_tokenize | |
text = "I'm not going to the party." | |
words = word_tokenize(text) | |
pos_tags = nltk.pos_tag(words) | |
print (pos_tags) |
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from nltk.stem import WordNetLemmatizer | |
wordnet_lemmatizer = WordNetLemmatizer() | |
print (wordnet_lemmatizer.lemmatize("geese")) | |
print (wordnet_lemmatizer.lemmatize("bottles", 'n')) | |
print (wordnet_lemmatizer.lemmatize("said", 'v')) | |
print (wordnet_lemmatizer.lemmatize("better", 'a')) | |
print (wordnet_lemmatizer.lemmatize("quickly", 'r')) |
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from nltk.tokenize import word_tokenize, sent_tokenize | |
text = "Hello, Mr. Jacobs. Nice to meet you!" | |
sentences = sent_tokenize(text) | |
words = word_tokenize(text) | |
print (sentences) | |
print (words) |
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import nltk | |
import re | |
from nltk.tokenize import word_tokenize | |
from nltk.stem import WordNetLemmatizer | |
input_file = "./input.txt" | |
words_file = "./words.txt" | |
output_file = "./output.txt" | |
curriculum_words = [] | |
pos_tagged_array = [] |
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act | 0 | |
be | 6 | |
begin | 0 | |
believe | 0 | |
break | 0 | |
call | 0 | |
can | 5 | |
change | 0 | |
choose | 0 | |
clean | 0 |
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act | |
be | |
begin | |
believe | |
break | |
call | |
can | |
change | |
choose | |
clean |
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