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example.rb
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example.rb
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require './alchemyapi'
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://blog.programmableweb.com/2011/09/16/new-api-billionaire-text-extractor-alchemy/'
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>'
alchemyapi = AlchemyAPI.new()
puts ''
puts ''
puts '############################################'
puts '# Entity Extraction Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing text: ' + demo_text
puts ''
response = alchemyapi.entities('text', demo_text, { 'sentiment'=>1 })
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Entities ##'
for entity in response['entities']
puts 'text: ' + entity['text']
puts 'type: ' + entity['type']
puts 'relevance: ' + entity['relevance']
puts 'sentiment: ' + entity['sentiment']['type'] + ' (' +entity['sentiment']['score'] + ')'
puts ''
end
else
puts 'Error in entity extraction call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Sentiment Analysis Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing html: ' + demo_html
puts ''
response = alchemyapi.sentiment('html', demo_html)
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Document Sentiment ##'
puts 'type: ' + response['docSentiment']['type']
puts 'score: ' + response['docSentiment']['score']
else
puts 'Error in sentiment analysis call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Keyword Extration Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing text: ' + demo_text
puts ''
response = alchemyapi.keywords('text', demo_text, { 'sentiment'=>1 })
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Keywords ##'
for keyword in response['keywords']
puts 'text: ' + keyword['text']
puts 'relevance: ' + keyword['relevance']
puts 'sentiment: ' + keyword['sentiment']['type'] + ' (' + keyword['sentiment']['score'] + ')'
puts ''
end
else
puts 'Error in keyword extraction call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Concept Tagging Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing text: ' + demo_text
puts ''
response = alchemyapi.concepts('text', demo_text)
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Concepts ##'
for concept in response['concepts']
puts 'text: ' + concept['text']
puts 'relevance: ' + concept['relevance']
puts ''
end
else
puts 'Error in concept tagging call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Relation Extraction Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing text: ' + demo_text
puts ''
response = alchemyapi.relations('text', demo_text)
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Relations ##'
for relation in response['relations']
if relation.key?('subject')
puts 'subject: ' + relation['subject']['text']
end
if relation.key?('action')
puts 'action: ' + relation['action']['text']
end
if relation.key?('object')
puts 'object: ' + relation['object']['text']
end
puts ''
end
else
puts 'Error in relation extraction call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Text Categorization Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing text: ' + demo_text
puts ''
response = alchemyapi.category('text', demo_text)
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Category ##'
puts 'text: ' + response['category']
puts 'score: ' + response['score']
else
puts 'Error in text categorization call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Language Detection Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing text: ' + demo_text
puts ''
response = alchemyapi.language('text', demo_text)
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Language ##'
puts 'text: ' + response['language']
puts 'iso-639-1: ' + response['iso-639-1']
puts 'native speakers: ' + response['native-speakers']
else
puts 'Error in language detection call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Author Extraction Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing url: ' + demo_url
puts ''
response = alchemyapi.author('url', demo_url)
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Author ##'
puts 'author: ' + response['author']
else
puts 'Error in author extraction call: ' + response['statusInfo']
end
puts ''
puts ''
puts ''
puts '############################################'
puts '# Feed Detection Example #'
puts '############################################'
puts ''
puts ''
puts 'Processing url: ' + demo_url
puts ''
response = alchemyapi.feeds('url', demo_url)
if response['status'] == 'OK'
puts '## Response Object ##'
puts JSON.pretty_generate(response)
puts ''
puts '## Feeds ##'
for feed in response['feeds']
puts 'feed: ' + feed['feed']
end
else
puts 'Error in feed detection call: ' + response['statusInfo']
end
puts ''
puts ''