def extract_sentiment(lyrics):
alchemy = AlchemyAPI()
response = alchemy.sentiment('text', lyrics)
if 'docSentiment' not in response.keys():
return 0.0
if 'score' in response['docSentiment'].keys():
return float(response['docSentiment']['score'])
return 0.0
def extract_sentiment(lyrics):
alchemy = AlchemyAPI()
response = alchemy.sentiment('text', lyrics)
if 'docSentiment' not in response.keys():
return 0.0
if 'score' in response['docSentiment'].keys():
return float(response['docSentiment']['score'])
return 0.0
def get_keywords(documents, text_accessor=lambda x: x):
alchemy_api = AlchemyAPI()
keywords = []
for document in documents:
response = alchemy_api.keywords('text', text_accessor(document), {'sentiment': 1})
if response['status'] == 'OK':
keywords.append(set(map(lambda x: x['text'], response['keywords'])))
else:
keywords.append(set())
print('Error in keyword extraction call')
return keywords
def tag_list(image_url):
alchemyapi = AlchemyAPI()
alchemy_json = alchemyapi.imageTagging("url", image_url)
try:
image_keywords = alchemy_json["imageKeywords"]
except KeyError:
return None
else:
result_list = {
image_keyword["text"]: float(image_keyword["score"])
for image_keyword in image_keywords
}
return result_list
def main():
from alchemyapi.alchemyapi import AlchemyAPI
# Extract text from a webpage for analysis
url = 'http://www.bloombergview.com/articles/2014-09-26/the-secret-goldman-sachs-tapes'
article = Webpage(url)
text = article.get_text()
# Extract keywords
alchemyapi = AlchemyAPI()
output = alchemyapi.keywords('text', text)
keywords = parse_keyword_output(output)
keywords.sort(reverse=True)
# Print to console
print('\nThe URL used for this assignment is:\n\n%s\n' % url)
print_keywords(keywords[:10])
class AlchemyApiService(object):
def __init__(self):
self.alchemy_api = AlchemyAPI()
def get_keywords(self, text):
# TODO(simplyfaisal): Refine error handling logic.
try:
response = self.alchemy_api.keywords('text', text, {'sentiment': 1})
if response['status'] == 'OK':
return response['keywords']
else:
print ('Error in keyword extraction')
print response
except Exception as e:
print e
return []
print(str(divText.div.strong.prettify) + " AUTHOR NAME TEST")
print(str(divText.div.blockquote.prettify) + " QUOTE TEXT TEST")
def build_quotes(TextSoup):
divText = TextSoup.find("div", {"id": "main_body"} , {"class": "right"})
Allauthors = []
Allquotes = []
for tag in divText:
author = tag.find('strong')
if author not in (-1, None):
Allauthors.append(author.contents)
quotes = tag.find('blockquote')
if quotes not in (-1, None):
quote = quotes.findAll('p', text = True)
Allquotes.append(quote)
print(str(Allauthors[0]) + str(Allquotes[0]) + "FIRST QUOTE - RESULTS TEST")
return(Allquotes)
Allquotes = build_quotes(soup)
alchemyapi = AlchemyAPI()
response = alchemyapi.keywords('text', Allquotes)
keywords = response.values()
keywords = keywords[2]
print(str(keywords[0]) + " KEYWORD SLICE CHECK")
df = pd.DataFrame(keywords)
df.index = df.index + 1
print df[0:10]
from alchemyapi.alchemyapi import AlchemyAPI
from json import load, dump
import time
songs = load(open('lyrics.json'))
alchemyapi = AlchemyAPI()
keywords = {}
for song in songs:
response = alchemyapi.keywords('text', songs[song])
for k in [ c['text'] for c in response['keywords'] ]:
if k not in keywords:
keywords[k] = []
keywords[k].append(song)
dump(keywords, open('keywords.json', 'w'))
__author__ = 'Yingqi'
import re
import json
import pandas as pd
from collections import defaultdict
from alchemyapi.alchemyapi import AlchemyAPI
alchemyapi = AlchemyAPI()
code = {'AL': '01', 'AZ': '04', 'AR': '05', 'CA': '06', 'CO': '08', 'CT': '09', 'DC': '11', 'FL': '12', 'GA': '13',
'ID': '16', 'IL': '17', 'IN': '18', 'IA': '19', 'KS': '20',
'KY': '21', 'LA': '22', 'ME': '23', 'MD': '24', 'MA': '25', 'MI': '26', 'MN': '27', 'MS': '28', 'MO': '29',
'MT': '30', 'NE': '31', 'NV': '32', 'NJ': '34', 'NH': '33', 'NM': '35', 'NY': '36', 'DE': '10',
'NC': '37', 'ND': '38', 'OH': '39', 'OK': '40', 'OR': '41', 'PA': '42', 'RI': '44', 'SC': '45', 'SD': '46',
'TN': '47', 'TX': '48', 'UT': '49', 'VT': '50', 'VA': '51', 'WA': '53', 'WV': '54', 'WI': '55',
'WY': '56'
}
mask = defaultdict(float, [(i,1) for i in code.values()])
print(mask)
def word_in_text(word, text):
word = word.lower()
text = text.lower()
match = re.search(word, text)
if match:
return True
return False
tweet_path = 'health.txt'
tweet_file = open(tweet_path, 'r')
tweet_data = []
i = 0
for line in tweet_file:
from alchemyapi.alchemyapi import AlchemyAPI
from json import load, dumps
from collections import Counter
from sys import stdout, exit
import feedparser
RSS_URL = 'http://feeds.bbci.co.uk/news/technology/rss.xml'
#RSS_URL = 'http://feeds.bbci.co.uk/news/science_and_environment/rss.xml'
keywords = load(open('keywords.json'))
d = feedparser.parse(RSS_URL)
alchemyapi = AlchemyAPI()
songs = Counter()
print ' Analysing: %s ' % (d['feed']['subtitle'])
count = len(d['entries'])
i = 0.0
stdout.write(' Working: 0%')
for t in d['entries']:
i += 1
title = t['title']
url = t['link']
if 'VIDEO:' not in title and 'AUDIO:' not in title:
response = alchemyapi.keywords('url', url)
if response['status'] == 'OK':
def __init__(self):
self.alchemy_api = AlchemyAPI()