def tweet_analysis(content):
al = acm.AlchemyAPI()
try:
this_result = al.sentiment('text', content)['docSentiment']
except:
print "AlchemyAPI exception"
return -2
try:
result = float(this_result['score'])
except KeyError:
result = 0
return result
def sentiment_analysis(text):
#aw = AlchemyWrapper()
#aw.sentiment_analysis("This is an awesome test!")
api = alchemyapi.AlchemyAPI()
response = api.sentiment('text', text)
if response['status'] == 'OK':
#print(json.dumps(response, indent=4))
#print('')
print('type: ', response['docSentiment']['type'])
if 'score' in response['docSentiment']:
#print('score: ', response['docSentiment']['score'])
return response['docSentiment']['score']
else:
print('Error in sentiment call: ', response['statusInfo'])
return 0
def getEntitiesKeywords(text):
api = alchemyapi.AlchemyAPI()
response = api.entities('text', text, {'sentiment': 1})
if response['status'] != 'OK':
raise Exception(
'Error from alchemy.\nText:%s\nStatus is:%s\nResponse:%s' %
(text, response['status'], response))
entities = []
for entity in response['entities']:
entities.append(entity['text'].encode('utf-8'))
time.sleep(10)
response = api.keywords('text', text, {'sentiment': 1})
if response['status'] != 'OK':
raise Exception(
'Error from alchemy.\nText:%s\nStatus is:%s\nResponse:%s' %
(text, response['status'], response))
keywords = []
for keyword in response['keywords']:
keywords.append(keyword['text'].encode('utf-8'))
return entities, keywords
def __init__(self):
s3 = S3Connection('AKIAILFPCHJZ4B4S6WBA',
'14dMH/aJM9a0X+nAC2FYufcVhnm/fQxc5AWvaxnp')
self.bucket = s3.get_bucket('newslist')
self.alchemy = alchemyapi.AlchemyAPI()
#!/usr/bin/python
# -*- coding: utf-8 -*-
# import sqlite3 as lite
#./manage.py shell < articile_into_database.py
import sys
import alchemyapi
# from blog.keyword_handler import KeywordHandler
from blog.models import NewsList
inst = alchemyapi.AlchemyAPI()
###
NewsList.objects.all().delete()
f=open('cnn_news.txt','r')
temp = f.read().splitlines()
num=0
while (num<1):
url = temp[num]
num = num +1
print url
# url = "http://cnn.com/2015/04/06/opinions/wang-china-women-detained/index.html"
# url = 'http://edition.cnn.com/2015/04/18/africa/south-africa-xenophobia-explainer/index.html'
keywords = inst.keywords("url", url)
text = inst.text("url",url)
title = inst.title("url",url)
author = inst.author("url",url)
print keywords
import alchemyapi
alchemyapi = alchemyapi.AlchemyAPI()
from bs4 import BeautifulSoup
import urllib3
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
#Dictionaries to Hold Final Report
report_headlines = []
report_keywords = []
def send_email_report():
#Set up Email Config
myaddr = 'YOUR-GMAIL-ADDRESS'
msg = MIMEMultipart('alternative')
msg['Subject'] = "Newsflash Report"
msg['From'] = 'me'
msg['To'] = 'me'
prepared_headlines = []
for d in report_headlines:
prepared_headlines.append('<li>From ' + d['source'] + ' <a href="' +
d['href'].encode('utf-8') + '">' +
d['title'] + '</a><br>\n')
html = '<h2>Newsflash: Headlines</h2>'
html += '<ul style="max-height:300px;overflow-y:scroll;border:1px solid grey;">'
#Insert headline links
for link in prepared_headlines:
html += link
def __init__(self):
self.keyword_extracter = alchemyapi.AlchemyAPI()