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example.py
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example.py
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#!/usr/bin/env python
# Copyright 2013 AlchemyAPI
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import print_function
from alchemyapi import AlchemyAPI
import json
demo_text = 'Yesterday dumb Bob destroyed my fancy iPhone in beautiful Denver, Colorado. I guess I will have to head over to the Apple Store and buy a new one.'
demo_url = 'http://www.npr.org/2013/11/26/247336038/dont-stuff-the-turkey-and-other-tips-from-americas-test-kitchen'
demo_html = '<html><head><title>Python Demo | AlchemyAPI</title></head><body><h1>Did you know that AlchemyAPI works on HTML?</h1><p>Well, you do now.</p></body></html>'
image_url = 'http://demo1.alchemyapi.com/images/vision/football.jpg'
print('')
print('')
print(
' , ')
print(
' .I7777~ ')
print(
' .I7777777 ')
print(
' +. 77777777 ')
print(
' =???, I7777777= ')
print(
'=?????? 7777777? ,:::===? ')
print(
'=???????. 777777777777777777~ .77: ?? :7 =$, :$$$$$$+ =$? ')
print(
' ????????: .777777777777777777 II77 ?? :7 $$7 :$? 7$7 =$? ')
print(
' .???????= +7777777777777777 .7 =7: ?? :7777+ :7:I777? ?777I= 77~777? ,777I I7 77 +$?$: :$? $$ =$? ')
print(
' ???????+ ~777???+===::: :7+ ~7 ?? .77 +7 :7?. II 7~ ,I7 77+ I77 ~7 ?7 =7: .$, =$ :$? ,$$? =$? ')
print(
' ,???????~ 77 7: ?? ?I. 7 :7 :7 ~7 7 77 =7: 7 7 7~ 7$ $= :$$$$$$~ =$? ')
print(
' .??????? ,???I77777777777~ :77777777~ ?? 7: :7 :7 777777777:77 =7 7 +7 ~7 $$$$$$$$I :$? =$? ')
print(
' .??????? ,7777777777777777 7= 77 ?? I+ 7 :7 :7 ?? 7,77 =7 7 7~ 7, =$7 $$, :$? =$? ')
print(
' .???????. I77777777777777777 +7 ,7??? 77 I7 :7 :7 7~ .?7 77 =7 7 ,77I $+ 7$ :$? =$? ')
print(
' ,???????= :77777777777777777~ 7= ~7?? ~I77777 :7 :7 ,777777. 77 =7 7 77, +$ .$::$? =$? ')
print(
',??????? :7777777 77 ')
print(
' =????? ,7777777 77= ')
print(
' +?+ 7777777? ')
print(
' + ~7777777 ')
print(
' I777777 ')
print(
' :~ ')
# Create the AlchemyAPI Object
alchemyapi = AlchemyAPI()
print('')
print('')
print('############################################')
print('# Entity Extraction Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.entities('text', demo_text, {'sentiment': 1})
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Entities ##')
for entity in response['entities']:
print('text: ', entity['text'].encode('utf-8'))
print('type: ', entity['type'])
print('relevance: ', entity['relevance'])
print('sentiment: ', entity['sentiment']['type'])
if 'score' in entity['sentiment']:
print('sentiment score: ' + entity['sentiment']['score'])
print('')
else:
print('Error in entity extraction call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Keyword Extraction Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.keywords('text', demo_text, {'sentiment': 1})
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Keywords ##')
for keyword in response['keywords']:
print('text: ', keyword['text'].encode('utf-8'))
print('relevance: ', keyword['relevance'])
print('sentiment: ', keyword['sentiment']['type'])
if 'score' in keyword['sentiment']:
print('sentiment score: ' + keyword['sentiment']['score'])
print('')
else:
print('Error in keyword extaction call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Concept Tagging Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.concepts('text', demo_text)
if response['status'] == 'OK':
print('## Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Concepts ##')
for concept in response['concepts']:
print('text: ', concept['text'])
print('relevance: ', concept['relevance'])
print('')
else:
print('Error in concept tagging call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Sentiment Analysis Example #')
print('############################################')
print('')
print('')
print('Processing html: ', demo_html)
print('')
response = alchemyapi.sentiment('html', demo_html)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Document Sentiment ##')
print('type: ', response['docSentiment']['type'])
if 'score' in response['docSentiment']:
print('score: ', response['docSentiment']['score'])
else:
print('Error in sentiment analysis call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Targeted Sentiment Analysis Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.sentiment_targeted('text', demo_text, 'Denver')
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Targeted Sentiment ##')
print('type: ', response['docSentiment']['type'])
if 'score' in response['docSentiment']:
print('score: ', response['docSentiment']['score'])
else:
print('Error in targeted sentiment analysis call: ',
response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Text Extraction Example #')
print('############################################')
print('')
print('')
print('Processing url: ', demo_url)
print('')
response = alchemyapi.text('url', demo_url)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Text ##')
print('text: ', response['text'].encode('utf-8'))
print('')
else:
print('Error in text extraction call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Author Extraction Example #')
print('############################################')
print('')
print('')
print('Processing url: ', demo_url)
print('')
response = alchemyapi.author('url', demo_url)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Author ##')
print('author: ', response['author'].encode('utf-8'))
print('')
else:
print('Error in author extraction call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Language Detection Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.language('text', demo_text)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Language ##')
print('language: ', response['language'])
print('iso-639-1: ', response['iso-639-1'])
print('native speakers: ', response['native-speakers'])
print('')
else:
print('Error in language detection call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Title Extraction Example #')
print('############################################')
print('')
print('')
print('Processing url: ', demo_url)
print('')
response = alchemyapi.title('url', demo_url)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Title ##')
print('title: ', response['title'].encode('utf-8'))
print('')
else:
print('Error in title extraction call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Relation Extraction Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.relations('text', demo_text)
if response['status'] == 'OK':
print('## Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Relations ##')
for relation in response['relations']:
if 'subject' in relation:
print('Subject: ', relation['subject']['text'].encode('utf-8'))
if 'action' in relation:
print('Action: ', relation['action']['text'].encode('utf-8'))
if 'object' in relation:
print('Object: ', relation['object']['text'].encode('utf-8'))
print('')
else:
print('Error in relation extaction call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Text Categorization Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.category('text', demo_text)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Category ##')
print('text: ', response['category'])
print('score: ', response['score'])
print('')
else:
print('Error in text categorization call: ', response['statusInfo'])
print('')
print('')
print('')
print('############################################')
print('# Feed Detection Example #')
print('############################################')
print('')
print('')
print('Processing url: ', demo_url)
print('')
response = alchemyapi.feeds('url', demo_url)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Feeds ##')
for feed in response['feeds']:
print('feed: ', feed['feed'])
else:
print('Error in feed detection call: ', response['statusInfo'])
print('')
print('')
print('')
print('')
print('')
print('############################################')
print('# Microformats Parsing Example #')
print('############################################')
print('')
print('')
print('Processing url: ', demo_url)
print('')
response = alchemyapi.microformats('url', demo_url)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Microformats ##')
for microformat in response['microformats']:
print('Field: ', microformat['field'].encode('utf-8'))
print('Data: ', microformat['data'])
print('')
else:
print('Error in microformats parsing call: ', response['statusInfo'])
print('')
print('')
print('')
print('')
print('')
print('############################################')
print('# Image Extraction Example #')
print('############################################')
print('')
print('')
print('Processing url: ', demo_url)
print('')
response = alchemyapi.imageExtraction('url', demo_url)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Image ##')
print('Image: ', response['image'])
print('')
else:
print('Error in image extraction call: ', response['statusInfo'])
print('')
print('')
print('')
print('')
print('')
print('############################################')
print('# Image tagging Example #')
print('############################################')
print('')
print('')
print('Processing url: ', image_url)
print('')
response = alchemyapi.imageTagging('url', image_url)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Keywords ##')
for keyword in response['imageKeywords']:
print(keyword['text'], ' : ', keyword['score'])
print('')
else:
print('Error in image tagging call: ', response['statusInfo'])
print('')
print('')
print('')
print('')
print('')
print('############################################')
print('# Taxonomy Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.taxonomy('text', demo_text)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Categories ##')
for category in response['taxonomy']:
print(category['label'], ' : ', category['score'])
print('')
else:
print('Error in taxonomy call: ', response['statusInfo'])
print('')
print('')
print('')
print('')
print('')
print('############################################')
print('# Combined Example #')
print('############################################')
print('')
print('')
print('Processing text: ', demo_text)
print('')
response = alchemyapi.combined('text', demo_text)
if response['status'] == 'OK':
print('## Response Object ##')
print(json.dumps(response, indent=4))
print('')
print('## Keywords ##')
for keyword in response['keywords']:
print(keyword['text'], ' : ', keyword['relevance'])
print('')
print('## Concepts ##')
for concept in response['concepts']:
print(concept['text'], ' : ', concept['relevance'])
print('')
print('## Entities ##')
for entity in response['entities']:
print(entity['type'], ' : ', entity['text'], ', ', entity['relevance'])
print(' ')
else:
print('Error in combined call: ', response['statusInfo'])
print('')
print('')