Link extraction and classification
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A lecture I gave at IST (Tagus Park) about the challenge of extracting information from a real-time feed of links.
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Link extraction and classification
- 1. http://www.flickr.com/photos/pio1976/3330670980/ Link extraction and classification Bruno Pedro December 2010
- 2. Bruno Pedro A n e x p e r i e n c e d We b d e v e l o p e r a n d entrepreneur. Has extensive background in large scale projects and technical writing. http://tarpipe.com/user/bpedro
- 3. What is tarpipe? User
- 5. twitter source: mashable.com • Average ~1.1M tweets/hour • ~300 new tweets every second
- 6. Challenge • ~300 reads/second • 160 X 300 = 48 KB/second = 4 GB/day (approximate calculation) • How to process all this information?
- 7. Strategy • Read and store immediately: • High performance write storage • No locks allowed • Prepare for lots of reading errors
- 8. Strategy • Process later: • Regular expressions • Term extraction • Machine learning
- 10. Link extraction extract user extract URL new tweet yes launch process has URL? save show no dump
- 11. Content extraction • Short URLs • HTTP redirects • HTTP errors — retry? • Content analysis
- 12. Content extraction URL retry? yes yes no fetch contents redirect? error? yes no save
- 13. Content analysis • Assume malformed (X)HTML • Regular expressions or • Convert to XHTML • DOM traversing
- 14. Content classification • HTML title, description, keywords tag cloud { • H1, H2, H3, ... • Paragraphs graph placement { • Who shared the link? • Internal and external links
- 15. Content classification (X)HTML extract head extract text extract text elements yes yes yes H1,H2,... paragraphs head found? save found? found? no no
- 16. The big picture new tweet classify content save extract URL extract content
- 17. Food for thought • PubsubHubbub http://code.google.com/p/pubsubhubbub/ • Activity Streams http://activitystrea.ms/ • twitter streaming API http://dev.twitter.com/pages/streaming_api
- 18. tarpipe streamlines your tarpipe is one of the most Today I had a chance to updates to various social curious experiments in spend time experimenting web sites, creating simple social media that I've with tarpipe and I have to or complex workflows to seen lately. The service say that I am intrigued by update several buckets in has the potential to be the concept and impressed one fell swoop. the answer to the lament by the implementation. I first talked about in The Adam Pash looming crisis: Personal Jeff Barr lifehacker syndication overload. Amazon.com Rafe Needleman CNET news thank you automated publishing
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